diff --git a/README.md b/README.md index 59b82b9..c07963f 100644 --- a/README.md +++ b/README.md @@ -139,6 +139,8 @@ Run a predefined standard question: python -m app.core.main -q 1 ``` +The numbers for `-q` index into `standard_questions` in [app/core/questions.py](app/core/questions.py) (module `app.core.questions`). + Run a custom question: ```bash @@ -151,8 +153,18 @@ Override the endpoint at runtime: python -m app.core.main -c "Which lab extracts show inhibition above 50% against Leishmania donovani?" --endpoint https://your-endpoint.example/sparql ``` +Attach a local input file to your question with `-f` (the file is copied into the session so the `FILE_ANALYZER` tool can use it): + +```bash +python -m app.core.main -c "Summarize the annotations in this file" -f path/to/your_file.csv +``` + MetaboT saves all result sets to CSV files in a temporary folder and returns the file path. When results are small, they are also displayed inline; for large result sets, only the file path is returned to avoid exceeding the LLM context window. +### LangSmith automated evaluation (benchmark) + +This repository includes a LangSmith-based automated evaluation script at `app/core/tests/evaluation.py`. To run it locally you need a LangSmith API key (`LANGCHAIN_API_KEY` or `LANGSMITH_API_KEY`) and an LLM provider key (e.g. `OPENAI_API_KEY`). See [docs/examples/langsmith-evaluation.md](docs/examples/langsmith-evaluation.md). + ### Streamlit web app The repository also includes a Streamlit interface: diff --git a/app/core/main.py b/app/core/main.py index 33a163d..79dac70 100644 --- a/app/core/main.py +++ b/app/core/main.py @@ -1,9 +1,11 @@ import os +import shutil import argparse -from typing import Optional +from typing import Optional, List from dotenv import load_dotenv from langsmith import Client from pathlib import Path +from app.core.session import create_user_session, initialize_session_context from app.core.workflow.langraph_workflow import create_workflow, process_workflow from app.core.utils import IntRange, setup_logger import configparser @@ -31,6 +33,14 @@ "mistral": "MISTRAL_API_KEY" } +class SessionFilePreparationError(ValueError): + """Raised when CLI input files cannot be staged into the session directory.""" + + def __init__(self, source_path: Path, message: str): + super().__init__(message) + self.source_path = source_path + + def get_api_key(provider: str) -> Optional[str]: """ @@ -99,7 +109,8 @@ def llm_creation(api_key=None, params_file=None): Reads the parameters from the configuration file (default is params.ini) and initializes the language models. Args: - api_key (str, optional): The API key for the OpenAI API. + api_key (str, optional): OpenAI API key; if set, used only for OpenAI-backed config sections. + Other providers always use keys from the environment (see API_KEY_MAPPING). params_file (str, optional): Path to an alternate configuration file. Returns: @@ -129,8 +140,10 @@ def llm_creation(api_key=None, params_file=None): elif section.startswith("ovh"): provider = "ovh" - if api_key is None: - api_key = get_api_key(provider) + # CLI `--api-key` is OpenAI-only; do not reuse it for other providers or across iterations. + section_api_key = ( + api_key if (api_key is not None and provider == "openai") else get_api_key(provider) + ) model_params = { "temperature": float(temperature), @@ -143,12 +156,12 @@ def llm_creation(api_key=None, params_file=None): base_url = config[section]["base_url"] if provider == "deepseek": model_params["openai_api_base"] = base_url - model_params["openai_api_key"] = api_key + model_params["openai_api_key"] = section_api_key else: model_params["base_url"] = base_url - model_params["api_key"] = api_key + model_params["api_key"] = section_api_key else: - model_params["openai_api_key"] = api_key + model_params["openai_api_key"] = section_api_key llm = ChatOpenAI(**model_params) models[section] = llm @@ -198,6 +211,72 @@ def langsmith_setup() -> Optional[Client]: return None +def _prepare_session_files(session_id: str, file_paths: List[str]) -> Path: + """ + Copy user-supplied local files into the session's input directory so that + the FILE_ANALYZER tool can discover them at runtime. + + Args: + session_id: Active session identifier. + file_paths: List of local file paths provided via the CLI. + + Returns: + Path to the session input directory. + + Raises: + SessionFilePreparationError: If any supplied path cannot be staged safely. + """ + input_dir = create_user_session(session_id, input_dir=True) + staged_destinations: dict[Path, Path] = {} + + for raw_path in file_paths: + src = Path(raw_path).expanduser().resolve(strict=False) + if not src.exists(): + raise SessionFilePreparationError(src, f"File not found: {src}") + if not src.is_file(): + raise SessionFilePreparationError(src, f"Input path is not a file: {src}") + + dest = input_dir / src.name + previous_src = staged_destinations.get(dest) + if previous_src is not None: + if previous_src == src: + raise SessionFilePreparationError( + src, + f"Input file was provided more than once: {src}", + ) + raise SessionFilePreparationError( + src, + ( + f"Cannot stage '{src}' because it would overwrite '{previous_src}' in " + f"the session input directory. Rename one of the files or choose a different path." + ), + ) + + if src == dest.resolve(strict=False): + raise SessionFilePreparationError( + src, + f"Input file is already staged in the session directory: {src}", + ) + + if dest.exists(): + raise SessionFilePreparationError( + src, + f"Cannot stage '{src}' because destination '{dest}' already exists.", + ) + + try: + shutil.copy2(str(src), str(dest)) + except (shutil.SameFileError, OSError) as exc: + raise SessionFilePreparationError( + src, + f"Failed to stage '{src}' into '{dest}': {exc}", + ) from exc + + staged_destinations[dest] = src + logger.info(f"Copied '{src}' -> '{dest}'") + + return input_dir + def main(): """Main function to run the workflow.""" # Define command line arguments @@ -207,6 +286,10 @@ def main(): help=f"Choose a standard question number from 1 to {len(standard_questions)}.") parser.add_argument('-c', '--custom', type=str, help="Provide a custom question.") + parser.add_argument( + '-f', '--file', type=str, nargs='+', + help="One or more local file paths to make available for the FILE_ANALYZER tool.", + ) parser.add_argument('-e', '--evaluation', action='store_true', help="Enable evaluation mode") parser.add_argument('--api-key', type=str, @@ -224,8 +307,23 @@ def main(): print("You must provide either a standard question number or a custom question.") return + # Create a user session (mirrors the Streamlit session lifecycle) and + # reconfigure the logger so subsequent CLI logs land in the session file. + session_id = create_user_session() + initialize_session_context(session_id) + global logger + logger = setup_logger(__name__) + + if args.file: + try: + _prepare_session_files(session_id, args.file) + except SessionFilePreparationError as exc: + logger.error(str(exc)) + print(f"Error: {exc}") + return + # Initialize LangSmith if available - langsmith_client = langsmith_setup() + langsmith_setup() # Get endpoint URL from arguments or environment endpoint_url = ( @@ -233,12 +331,13 @@ def main(): or os.environ.get("KG_ENDPOINT_URL") or "https://enpkg.commons-lab.org/graphdb/repositories/ENPKG" ) - models = llm_creation() + models = llm_creation(api_key=args.api_key) try: # Create and process workflow workflow = create_workflow( models=models, + session_id=session_id, endpoint_url=endpoint_url, evaluation=False, api_key=args.api_key diff --git a/app/core/tests/evaluation.py b/app/core/tests/evaluation.py index b182a9b..f08ee3c 100644 --- a/app/core/tests/evaluation.py +++ b/app/core/tests/evaluation.py @@ -1,131 +1,143 @@ -from dotenv import load_dotenv import os -from langsmith import Client -from langchain_core.messages import BaseMessage, HumanMessage -# from langgraph.graph import StateGraph +import pandas as pd +import json -from app.core.workflow.langraph_workflow import create_workflow, process_workflow +from uuid import uuid4 +from dotenv import load_dotenv -from app.core.main import llm_creation +from langsmith import Client +from langsmith.utils import LangSmithNotFoundError +from langchain_core.messages import HumanMessage from langsmith.evaluation import EvaluationResult, run_evaluator -from langchain.evaluation import EvaluatorType -from langsmith.schemas import Example, Run +from langchain.evaluation import EvaluatorType, load_evaluator from langchain.smith import run_on_dataset, RunEvalConfig -from langchain.evaluation import load_evaluator -from uuid import uuid4 -from app.core.utils import setup_logger -# Load environment variables -load_dotenv() +from app.core.workflow.langraph_workflow import create_workflow +from app.core.main import llm_creation +from app.core.utils import setup_logger logger = setup_logger(__name__) -# Set environment variables for LangSmith -os.environ["LANGCHAIN_TRACING_V2"] = "true" -os.environ["LANGCHAIN_PROJECT"] = ( - os.environ.get("LANGCHAIN_PROJECT") - or os.environ.get("LANGSMITH_PROJECT") - or "MetaboT evaluation" -) -os.environ["LANGCHAIN_ENDPOINT"] = ( - os.environ.get("LANGCHAIN_ENDPOINT") - or os.environ.get("LANGSMITH_ENDPOINT") - or os.environ.get("LANGSMITH_BASE_URL") - or "https://api.smith.langchain.com" -) - -# Initialize Langsmith client -api_key = os.getenv("LANGCHAIN_API_KEY") or os.environ.get("LANGSMITH_API_KEY") -if not api_key: - raise ValueError("The environment variable LANGCHAIN_API_KEY is not defined") - -client = Client(api_key=api_key) - -# Dataset configuration -dataset_name = "smaller_benchmark_temporal" - -# Custom criteria for SPARQL query evaluation -custom_criteria = { - "structural similarity of SPARQL queries": - "How similar is the structure of the generated SPARQL query to the reference SPARQL query? Does the generated query correctly match subjects to their corresponding objects as in the reference query" -} - -# Load evaluator with custom criteria -eval_chain_new = load_evaluator( - EvaluatorType.LABELED_CRITERIA, - criteria=custom_criteria, -) - -# Define the evaluation configuration -evaluation_config = RunEvalConfig( - evaluators=[ - EvaluatorType.QA, - RunEvalConfig.LabeledScoreString( - { - "accuracy": """ -Score 1: The answer is completely unrelated to the reference. -Score 3: The answer has minor relevance but does not align with the reference. -Score 5: The answer has moderate relevance but contains inaccuracies. -Score 7: The answer aligns with the reference but has minor errors or omissions. -Score 10: The answer is completely accurate and aligns perfectly with the reference.""" - }, - normalize_by=10, - ), - ], - custom_evaluators=[eval_chain_new], -) - -endpoint_url = os.environ.get("KG_ENDPOINT_URL") or "https://enpkg.commons-lab.org/graphdb/repositories/ENPKG" - -models = llm_creation() -# Create workflow in evaluation mode -app = create_workflow( - models=models, - endpoint_url=endpoint_url, - evaluation=True, - api_key=os.getenv("OPENAI_API_KEY") -) - -def evaluate_result(_input, thread_id: int = 1): - """ - Evaluate the result based on input. - - Args: - _input (dict): Input containing messages to process - - Returns: - dict: The evaluation result - """ - - # Prepare the message - message = { - "messages": [ - HumanMessage(content=_input["messages"][0]["content"]) - ] - } - +dataset_name = "benchmark_metabot" + +current_dir = os.path.dirname(os.path.abspath(__file__)) +core_dir = os.path.dirname(current_dir) +app_dir = os.path.dirname(core_dir) +local_data_path = os.path.join(app_dir, "data", "big_benchmark.csv") - response = app.invoke(message, - {"configurable": {"thread_id": thread_id}},) - - return {"output": response} +def main(): + load_dotenv() -# Generate a unique identifier for the project -unique_id = uuid4().hex[0:8] + api_key = os.getenv("LANGCHAIN_API_KEY") or os.environ.get("LANGSMITH_API_KEY") + openai_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("Missing LANGCHAIN_API_KEY. Please copy .env.template to .env and add your key.") + if not openai_key: + raise ValueError("Missing OPENAI_API_KEY. Please copy .env.template to .env and add your key.") -# Run evaluation on the dataset -chain_results = run_on_dataset( - dataset_name=dataset_name, - llm_or_chain_factory=evaluate_result, - evaluation=evaluation_config, - verbose=True, - project_name=f"Testing the app-{unique_id}", - client=client, - project_metadata={ - "model": "gpt-4o", - }, -) + os.environ["LANGCHAIN_TRACING_V2"] = "true" + os.environ["LANGCHAIN_PROJECT"] = os.environ.get("LANGCHAIN_PROJECT", "MetaboT evaluation") + os.environ["LANGCHAIN_ENDPOINT"] = os.environ.get("LANGCHAIN_ENDPOINT", "https://api.smith.langchain.com") + client = Client(api_key=api_key) + try: + client.read_dataset(dataset_name=dataset_name) + logger.info(f"Dataset '{dataset_name}' found in LangSmith workspace.") + except LangSmithNotFoundError: + logger.info(f"Dataset '{dataset_name}' not found. Attempting to create it from local file...") + + if not os.path.exists(local_data_path): + raise FileNotFoundError( + f"Could not find '{local_data_path}'. Ensure the local dataset file is shared alongside this script." + ) from None + + df = pd.read_csv(local_data_path) + dataset = client.create_dataset(dataset_name=dataset_name, description="MetaboT Benchmark") + + inputs = [] + outputs = [] + + for _, row in df.iterrows(): + try: + parsed_messages = json.loads(row["messages"]) + parsed_end_state = json.loads(row["__end__"]) + + inputs.append({"messages": parsed_messages}) + outputs.append({"__end__": parsed_end_state}) + + except json.JSONDecodeError as e: + logger.warning(f"Skipping a row due to JSON parsing error: {e}") + continue + + client.create_examples(inputs=inputs, outputs=outputs, dataset_id=dataset.id) + logger.info(f"Successfully created dataset '{dataset_name}' in LangSmith.") + + custom_criteria = { + "structural similarity of SPARQL queries": + "How similar is the structure of the generated SPARQL query to the reference SPARQL query? Does the generated query correctly match subjects to their corresponding objects as in the reference query" + } + + eval_chain_new = load_evaluator(EvaluatorType.LABELED_CRITERIA, criteria=custom_criteria) + + evaluation_config = RunEvalConfig( + evaluators=[ + EvaluatorType.QA, + RunEvalConfig.LabeledScoreString( + { + "accuracy": """ +Score 1: The answer is completely unrelated to the reference. +Score 3: The answer has minor relevance but does not align with the reference. +Score 5: The answer has moderate relevance but contains inaccuracies. +Score 7: The answer aligns with the reference but has minor errors or omissions. +Score 10: The answer is completely accurate and aligns perfectly with the reference.""" + }, + normalize_by=10, + ), + ], + custom_evaluators=[eval_chain_new], + ) + + endpoint_url = os.environ.get("KG_ENDPOINT_URL", "https://enpkg.commons-lab.org/graphdb/repositories/ENPKG") + + models = llm_creation() + + app = create_workflow( + models=models, + endpoint_url=endpoint_url, + evaluation=True, + api_key=openai_key + ) + + def evaluate_result(_input, thread_id: int = 1): + """Evaluate the result based on input.""" + input_text = _input.get("question") or _input["messages"][0]["content"] + + message = { + "messages": [HumanMessage(content=input_text)] + } + + response = app.invoke(message, {"configurable": {"thread_id": thread_id}}) + return {"__end__": response} + + unique_id = uuid4().hex[0:8] + + chain_results = run_on_dataset( + dataset_name=dataset_name, + llm_or_chain_factory=evaluate_result, + evaluation=evaluation_config, + verbose=True, + project_name=f"Testing the app-{unique_id}", + client=client, + project_metadata={ + "model": "gpt-4o", + }, + ) + + logger.info(f"Evaluation complete. View results in LangSmith under project: Testing the app-{unique_id}") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/app/data/big_benchmark.csv b/app/data/big_benchmark.csv new file mode 100644 index 0000000..640b72c --- /dev/null +++ b/app/data/big_benchmark.csv @@ -0,0 +1,51 @@ +messages,__end__,dataset_split +"[{""type"": ""human"", ""content"": ""Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Raw Material, Lab Extract, BioAssayResult, Chemical Entity). The question asks for information about plant extracts containing compounds that have demonstrated a certain level of inhibition against a specific target and have a certain mass, which can be retrieved from the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Trypanosoma cruzi, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL368, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The query has been processed successfully. Here is the information:\n\n- **Question**: Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?plant ?labExtract\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_parent_mass ?mass .\n FILTER(?mass > 800)\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibition .\n FILTER(?inhibition > 50)\n ?bioAssayResult ns2:target_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?rawMaterial ns1:submitted_taxon ?plant .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/cbb95402a0b148239141ff5dfd609728/tmpixjks0gp.csv`\n\nPlease refer to the file for detailed results on the plants and their corresponding lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The analysis of the file indicates that there are no plant extracts meeting the specified criteria of having compounds with inhibition rates above 50% against Trypanosoma cruzi and a mass above 800 Da. If you have any other questions or need further analysis, please let me know. \n\nNo visualization is available, but the data can be downloaded for further inspection. \n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Filter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm). Provide the features and retention time."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Filter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm). Provide the features and retention time."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Melochia umbellata, http://www.wikidata.org/entity/Q6813281, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n### Question:\nFilter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm).\n\n### Generated SPARQL Query:\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wdt: \n\nSELECT ?posFeature ?negFeature\nWHERE {\n ?rawMaterial ns1:has_wd_id ;\n ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?posAnalysis, ?negAnalysis .\n ?posAnalysis a ns1:LCMSAnalysisPos ;\n ns1:has_lcms_feature_list ?posFeatureList .\n ?negAnalysis a ns1:LCMSAnalysisNeg ;\n ns1:has_lcms_feature_list ?negFeatureList .\n ?posFeatureList ns1:has_lcms_feature ?posFeature .\n ?negFeatureList ns1:has_lcms_feature ?negFeature .\n ?posFeature ns1:has_sirius_annotation ?posAnnotation ;\n ns1:has_retention_time ?posRT ;\n ns1:has_parent_mass ?posMass .\n ?negFeature ns1:has_sirius_annotation ?negAnnotation ;\n ns1:has_retention_time ?negRT ;\n ns1:has_parent_mass ?negMass .\n ?posAnnotation ns1:has_sirius_adduct \""[M+H]+\"" .\n ?negAnnotation ns1:has_sirius_adduct \""[M-H]-\"" .\n FILTER (ABS(?posRT - ?negRT) <= 3)\n FILTER (ABS(?posMass - ?negMass) / ?posMass <= 0.000005)\n}\n```\n\n### File Path:\nThe results of the query have been saved to the following file path: `/tmp/kgbot/tmprvccrkkb.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""How unique InChIKey2D are among the structural annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How unique InChIKey2D are among the structural annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: How unique InChIKey2D are among the structural annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (InChIKey2D, Annotation). The question is asking for unique InChIKey2D among the structural annotations, which is a valid query for the knowledge graph."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The number of unique InChIKey2D among the structural annotations is 106,647.\n\nHere is the information related to the SPARQL query:\n\n- **Question**: How unique InChIKey2D are among the structural annotations?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(DISTINCT ?InChIkey2D) AS ?uniqueInChIkey2DCount)\n WHERE {\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/73fb3b1ea55e4c8d93e92080edfdd449/tmphyuvm3dr.csv`\n\nThis result indicates the count of unique InChIKey2D identifiers found among the structural annotations in the knowledge graph."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Lovoa trichilioides, http://www.wikidata.org/entity/Q8008828, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?retentionTime ?molecularMass ?canopusClass\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q8008828 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysisNeg .\n ?lcmsAnalysisNeg a ns1:LCMSAnalysisNeg .\n ?lcmsAnalysisNeg ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retentionTime .\n ?feature ns1:has_parent_mass ?molecularMass .\n ?feature ns1:has_canopus_annotation ?canopusAnnotation .\n ?canopusAnnotation ns1:has_canopus_npc_class ?canopusClass .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/1ee4538b31f946faaa8a05370b67774f/tmpwx92t25x.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The retention times, molecular masses, and CANOPUS chemical class annotations for the compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts have been processed. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4??"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4??"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here is the information:\n\n- **Question**: What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?retentionTime ?adduct\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retentionTime .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_cosmic_score ?cosmicScore .\n ?siriusAnnotation ns1:has_adduct ?adduct .\n FILTER(?cosmicScore > 0.4)\n }\n ```\n- **File Path**: The results are stored in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/25ad11d8258b4723b0a4653d1b0de5e7/tmpvmkstwx8.csv`.\n\nPlease let me know if you need further assistance or analysis of the results!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Lovoa trichilioides, http://www.wikidata.org/entity/Q8008828, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides, as annotated by SIRIUS, has the following details:\n\n- **SMILES Notation**: `CC(C)(C)C1=C(C=CC(=C1)C(C)(CC(=O)OCCOC(=O)CC(C)(C2=CC(=C(C=C2)O)C(C)(C)C)C3=CC(=C(C=C3)O)C(C)(C)C)C4=CC(=C(C=C4)O)C(C)(C)C)O`\n- **Wikidata ID**: [Q27254797](http://www.wikidata.org/entity/Q27254797)\n\nHere is the SPARQL query used to obtain this information:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?smiles ?wd_id\nWHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns1:has_smiles ?smiles ;\n ns1:has_wd_id ?wd_id .\n ?feature ns1:has_parent_mass ?mass .\n}\nORDER BY DESC(?mass)\nLIMIT 1\n```\n\nThe data was retrieved from the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/c05df7beae71402fa925205f656dba83/tmpj8dw4tu8.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Melochia umbellata, http://www.wikidata.org/entity/Q6813281, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n### Question:\nFor features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D.\n\n### Generated SPARQL Query:\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wd: \n\nSELECT ?featurePos ?retentionTime ?InChIkey2D\nWHERE {\n ?rawMaterial ns1:has_wd_id wd:Q6813281 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsPos .\n ?lcmsPos a ns1:LCMSAnalysisPos .\n ?lcmsPos ns1:has_lcms_feature_list ?featureListPos .\n ?featureListPos ns1:has_lcms_feature ?featurePos .\n ?featurePos ns1:has_retention_time ?retentionTime .\n ?featurePos ns1:has_sirius_annotation ?siriusAnnotationPos .\n ?siriusAnnotationPos ns1:has_InChIkey2D ?InChIkey2D .\n\n ?labExtract ns1:has_LCMS ?lcmsNeg .\n ?lcmsNeg a ns1:LCMSAnalysisNeg .\n ?lcmsNeg ns1:has_lcms_feature_list ?featureListNeg .\n ?featureListNeg ns1:has_lcms_feature ?featureNeg .\n ?featureNeg ns1:has_retention_time ?retentionTimeNeg .\n ?featureNeg ns1:has_sirius_annotation ?siriusAnnotationNeg .\n ?siriusAnnotationNeg ns1:has_InChIkey2D ?InChIkey2D .\n\n FILTER (ABS(?retentionTime - ?retentionTimeNeg) <= 0.05)\n}\n```\n\n### File Path:\nThe results of the query have been saved to the following file path:\n`/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/6966291902c9490ab2b949339c4c2797/tmp_cptewcz.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?feature\n WHERE {\n ?analysis a ns1:LCMSAnalysisPos .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_feature_area ?area .\n FILTER(?area > 1000000)\n } ORDER BY DESC(?area)\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/61f189ee29f1402eae7ec344e7ac1ef7/tmpv676p86i.csv\n\nPlease review the file for the detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The LCMS features with feature areas greater than 1,000,000 in positive ionization mode have been filtered and saved. You can download the detailed results from the following file:\n\n- **Filtered Features File**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/61f189ee29f1402eae7ec344e7ac1ef7/filtered_features.csv\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""List the lab extracts that have inhibition percentages above 50% bioassay results at 2µg/mL against Trypanosoma brucei rhodesiense ."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the lab extracts that have inhibition percentages above 50% bioassay results at 2µg/mL against Trypanosoma brucei rhodesiense ."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the lab extracts that have inhibition percentages above 50% bioassay results at 2µg/mL against Trypanosoma brucei rhodesiense."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Trypanosoma brucei rhodesiense, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL612348, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: List the lab extracts that have inhibition percentages above 50% bioassay results at 2µg/mL against Trypanosoma brucei rhodesiense.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?labExtract\n WHERE {\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:target_id .\n {\n ?bioAssayResult a ns2:Tbrucei2ugml .\n }\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/fc41480ada32471b948feb8e1d6babcf/tmp4p9xu66f.csv`\n\nI will now analyze the SPARQL output to provide the final answer.\nThe lab extracts that have bioassay results at 2µg/mL against Trypanosoma brucei rhodesiense are listed in the file located at the following path:\n\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/fc41480ada32471b948feb8e1d6babcf/tmp4p9xu66f.csv`\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""List the lab extracts that have inhibition percentages above 50% bioassay results at 2µg/mL against Trypanosoma brucei rhodesiense\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?labExtract\\nWHERE {\\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\\n ?bioAssayResult ns2:target_id .\\n {\\n ?bioAssayResult a ns2:Tbrucei2ugml .\\n } ?bioAssayResult ns2:inhibition_percentage ?inhibition .\n FILTER(?inhibition > 50)\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/fc41480ada32471b948feb8e1d6babcf/tmp4p9xu66f.csv\""\n}\n```\n\nPlease review the file for the detailed list of lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?spec2vecPeak ?spec2vecLoss (COUNT(?spec2vecPeak) AS ?peakFrequency) (COUNT(?spec2vecLoss) AS ?lossFrequency)\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q15376858 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\n ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vecPeak .\n ?spec2vecDoc ns1:has_spec2vec_loss ?spec2vecLoss .\n } GROUP BY ?spec2vecPeak ?spec2vecLoss \n ORDER BY DESC(?peakFrequency) DESC(?lossFrequency)\n LIMIT 1\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/2e7991542808441db6e152ef5e034607/tmpdwgxk7xv.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides have been successfully retrieved "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides can be found in the provided file. Here is the information related to your query:\n\n- **Question**: What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features.\n- **Generated SPARQL Query**: \n ```sparql\n PREFIX ns1: \n\n SELECT ?feature\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:fast_search_gnpslibrary_analog ?analog .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/c00a7dfa6ebf4a978b7a894760588603/tmp94vi0nsp.csv`\n\nPlease refer to the file for the detailed list of features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?spec2vecDoc\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aa6e48ec3a194a14a7a9f918774c080a/tmpxvtl3hcs.csv\n\nI will now analyze the SPARQL output to provide the final answer.\nThe final answer based on the SPARQL output is as follows:\n\nThe Spec2Vec documents (Spec2VecDoc) associated with MS2 spectra (MS2Spectrum) from the lab extracts (LabExtract) of Tabernaemontana coffeoides have been retrieved. The details are stored in the file located at:\n\n**File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aa6e48ec3a194a14a7a9f918774c080a/tmpxvtl3hcs.csv\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""Retrieve the Spec2Vec documents (Spec2VecDoc) associated with MS2 spectra (MS2Spectrum) from the lab extracts (LabExtract) of Tabernaemontana coffeoides.\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?spec2vecDoc\\nWHERE {\\n ?rawMaterial ns1:has_wd_id .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\\n ?featureList ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aa6e48ec3a194a14a7a9f918774c080a/tmpxvtl3hcs.csv\""\n}\n```\n\nPlease review the file for the detailed Spec2Vec documents."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n SELECT ?sample ?taxon ?labProcess ?label\n WHERE {\n ?sample ns1:has_wd_id ?taxon .\n ?sample ns1:has_lab_process ?labProcess .\n OPTIONAL { ?sample rdfs:label ?label . }\n }\n ORDER BY ?sample ?labProcess\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5642f76045424334a801e191d6ed4563/tmp9g_oyjum.csv\n\nPlease review the file at the provided path for the detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The taxons, lab process, and labels (if any) for each sample have been sorted by sample and then by lab process. Here is a snippet of the sorted data:\n\n| Sample | Taxon | Lab Process | Label |\n|------------------------------------------|------------------------------------------|--------------------------------------------|-------|\n| http://www.wikidata.org/entity/Q11086771 | http://www.wikidata.org/entity/Q11086771 | https://enpkg.commons-lab.org/kg/KP001_Positive | NaN |\n| http://www.wikidata.org/entity/Q11272377 | http://www.wikidata.org/entity/Q11272377 | https://enpkg.commons-lab.org/kg/KP002_Positive | NaN |\n| http://www.wikidata.org/entity/Q11086771 | http://www.wikidata.org/entity/Q11086771 | https://enpkg.commons-lab.org/kg/KP003_Positive | NaN |\n| http://www.wikidata.org/entity/Q11272377 | http://www.wikidata.org/entity/Q11272377 | https://enpkg.commons-lab.org/kg/KP004_Positive | NaN |\n| http://www.wikidata.org/entity/Q5978345 | http://www.wikidata.org/entity/Q5978345 | https://enpkg.commons-lab.org/kg/KP005_Positive | NaN |\n\nThe full path of the file generated is:\n- /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5642f76045424334a801e191d6ed4563/tmp9g_oyjum.csv\n\nYou can download the file for the complete details."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract."", ""example"": false, ""additional_kwargs"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Entry_agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: \""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract .\"""", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Validator_agent"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""The entity \""aspidosperma-type alkaloids\"" was resolved to the following IRIs:\n\naspidosperma-type alkaloids, https://enpkg.commons-lab.org/kg/npc_Aspidosperma_type, NPCClass;\nNPCPathway, https://enpkg.commons-lab.org/kg/npc_Alkaloids, NPCPathway;\nNPCSuperClass, https://enpkg.commons-lab.org/kg/npc_Tyrosine_alkaloids, NPCSuperClass."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The extracts with features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids, are as follows:\n\n1. VGF152_B02: 74 features\n2. VGF157_D02: 11 features\n3. VGF147_B11: 10 features\n4. VGF153_C03: 7 features\n5. VGF157_E02: 2 features\n6. VGF154_D02: 2 features\n7. VGF147_A10: 2 features\n8. VGF140_F02: 2 features\n9. KP146_Positive: 1 feature\n10. KP317_Positive: 1 feature\n11. VGF159_B11: 1 feature\n12. VGF155_D07: 1 feature\n13. VGF154_H02: 1 feature\n14. VGF153_E07: 1 feature\n15. VGF153_G10: 1 feature\n16. VGF153_D03: 1 feature\n17. VGF153_F04: 1 feature\n18. VGF153_G09: 1 feature\n19. VGF153_F11: 1 feature\n20. VGF153_H04: 1 feature\n21. VGF153_B06: 1 feature\n22. VGF152_E06: 1 feature\n23. VGF151_F09: 1 feature\n24. VGF151_D06: 1 feature\n25. VGF151_E03: 1 feature\n26. VGF150_B11: 1 feature\n27. VGF150_B06: 1 feature\n28. VGF150_F09: 1 feature\n29. VGF150_H05: 1 feature\n30. VGF150_F06: 1 feature\n31. VGF147_D11: 1 feature\n32. VGF147_E10: 1 feature\n33. VGF143_E07: 1 feature\n34. VGF140_E02: 1 feature\n35. VGF139_D09: 1 feature\n36. SC_AP_Wi_DCM: 1 feature\n\nThe SPARQL query used to retrieve this information is:\n```sparql\nPREFIX ns1: \n\nSELECT ?labExtract (COUNT(?feature) AS ?featureCount)\nWHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis a ns1:LCMSAnalysisPos .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n ?annotation ns1:has_canopus_npc_class_prob ?probability .\n FILTER(?probability > 0.5)\n}\nGROUP BY ?labExtract\nORDER BY DESC(?featureCount)\n```\n\nThe results are saved in the file located at: `/tmp/kgbot/f36215b1a3114803ad38a18a9462eb29/tmp8u8o5vcv.csv`\n\nNext, I will generate a bar chart based on this data.\nHere is the dictionary containing the question, generated SPARQL query, and the file path to the results:\n\n```json\n{\n \""question\"": \""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract and provide a bar chart.\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\n\\nSELECT ?labExtract (COUNT(?feature) AS ?featureCount)\\nWHERE {\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis a ns1:LCMSAnalysisPos .\\n ?analysis ns1:has_lcms_feature_list ?feature_list .\\n ?feature_list ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_canopus_annotation ?annotation .\\n ?annotation ns1:has_canopus_npc_class .\\n ?annotation ns1:has_canopus_npc_class_prob ?probability .\\n FILTER(?probability > 0.5)\\n}\\nGROUP BY ?labExtract\\nORDER BY DESC(?featureCount)\"",\n \""file_path\"": \""/tmp/kgbot/f36215b1a3114803ad38a18a9462eb29/tmp8u8o5vcv.csv\""\n}\n```\n\nPlease use this information to generate the bar chart."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The extracts with features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids, are as follows:\n\n1. VGF152_B02: 74 features\n2. VGF157_D02: 11 features\n3. VGF147_B11: 10 features\n4. VGF153_C03: 7 features\n5. VGF157_E02: 2 features\n6. VGF154_D02: 2 features\n7. VGF147_A10: 2 features\n8. VGF140_F02: 2 features\n9. KP146_Positive: 1 feature\n10. KP317_Positive: 1 feature\n11. VGF159_B11: 1 feature\n12. VGF155_D07: 1 feature\n13. VGF154_H02: 1 feature\n14. VGF153_E07: 1 feature\n15. VGF153_G10: 1 feature\n16. VGF153_D03: 1 feature\n17. VGF153_F04: 1 feature\n18. VGF153_G09: 1 feature\n19. VGF153_F11: 1 feature\n20. VGF153_H04: 1 feature\n21. VGF153_B06: 1 feature\n22. VGF152_E06: 1 feature\n23. VGF151_F09: 1 feature\n24. VGF151_D06: 1 feature\n25. VGF151_E03: 1 feature\n26. VGF150_B11: 1 feature\n27. VGF150_B06: 1 feature\n28. VGF150_F09: 1 feature\n29. VGF150_H05: 1 feature\n30. VGF150_F06: 1 feature\n31. VGF147_D11: 1 feature\n32. VGF147_E10: 1 feature\n33. VGF143_E07: 1 feature\n34. VGF140_E02: 1 feature\n35. VGF139_D09: 1 feature\n36. SC_AP_Wi_DCM: 1 feature\n\nT"", ""example"": false, ""additional_kwargs"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully executed to find the ISDB annotations with consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides. Here is the information:\n\n- **Question**: Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?Annotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?Annotation .\n ?Annotation ns1:has_consistency_score ?consistencyScore .\n ?Annotation ns1:has_taxo_score ?taxoScore .\n FILTER(?consistencyScore > 0.7 && ?taxoScore > 0.5)\n }\n ```\n- **File Path**: The results are stored in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/002a9f76c921447fbfe4490492614cba/tmpgkgukng8.csv`.\n\nPlease refer to the file for the detailed annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question:** List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes.\n- **Generated SPARQL Query:**\n ```sparql\n PREFIX ns1: \n\n SELECT ?feature\n WHERE {\n ?feature ns1:has_canopus_annotation ?annotation .\n ?feature ns1:has_retention_time ?retention_time .\n ?annotation ns1:has_canopus_npc_class ?chemicalClass .\n FILTER(?retentionTime >= 5 && ?retentionTime <= 7) }\n ```\n- **File Path:** /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aadd02d3086647dd9408cbc9098e5862/tmpx_kt8dmi.csv\n\nYou can now review the results in the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the mass spectrometry features detected only in the plant Rumex nepalensis?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the mass spectrometry features detected only in the plant Rumex nepalensis?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the mass spectrometry features detected only in the plant Rumex nepalensis?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Rumex nepalensis, http://www.wikidata.org/entity/Q11041204, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the mass spectrometry features detected only in the plant Rumex nepalensis?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?feature\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q11041204 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/966c850620f7440182889fe9b80a1edb/tmp4z32di1l.csv\n\nI will now analyze the SPARQL output to provide the final answer.\nThe mass spectrometry features detected for the plant Rumex nepalensis can be found in the file located at the following path:\n\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/966c850620f7440182889fe9b80a1edb/tmp4z32di1l.csv\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""What are the mass spectrometry features detected for the plant Rumex nepalensis?\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\nPREFIX wd: \\n\\nSELECT ?feature\\nWHERE {\\n ?rawMaterial ns1:has_wd_id wd:Q11041204 .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis ns1:has_lcms_feature_list ?featureList .\\n ?featureList ns1:has_lcms_feature ?feature .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/966c850620f7440182889fe9b80a1edb/tmp4z32di1l.csv\""\n}\n```\n\nPlease review the file for the detailed mass spectrometry features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The mass spectrometry features detected for the plant Rumex nepalensis are as follows:\n\n1. [LCMS Feature 1](https://enpkg.commons-lab.org/kg/lcms_feature_1)\n2. [LCMS Feature 2](https://enpkg.commons-lab.org/kg/lcms_feature_2)\n3. [LCMS Feature 3](https://enpkg.commons-lab.org/kg/lcms_feature_3)\n4. [LCMS Feature 4](https://enpkg.commons-lab.org/kg/lcms_feature_4)\n5. [LCMS Feature 5](https://enpkg.commons-lab.org/kg/lcms_feature_5)\n\nNo visualization was requested for this analysis. The data can be downloaded from the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the plannar structure)?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the plannar structure)?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the planar structure)?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Wikidata IDs, InChIkey2D) and asks for a count of distinct Wikidata IDs that have the same metabolite annotation, considering only the planar structure. This information can be retrieved from the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The query has been executed successfully. There are 138,146 distinct Wikidata identifiers (WD IDs) that share the same metabolite annotation based on their planar structure (InChIkey2D).\n\nHere is the information related to the query:\n\n- **Question**: How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the planar structure)?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(DISTINCT ?wd_id) AS ?distinct_wd_ids)\n WHERE {\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey .\n ?InChIkey ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/49c4b98b94034c86ace8c37139fa6a29/tmpnnlg58pc.csv`\n\nThis result indicates the number of unique Wikidata IDs that are associated with the same planar structure annotation in the ENPKG database."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts is as follows:\n\n- Flavonoids: 600\n- Octadecanoids: 105\n- Triterpenoids: 50\n- Isoflavonoids: 147\n- Sesquiterpenoids: 27\n- Lignans: 19\n- Small peptides: 19\n- Monoterpenoids: 16\n- Coumarins: 180\n- Tryptophan alkaloids: 6\n- Stilbenoids: 20\n- Nucleosides: 8\n- Glycerophospholipids: 2\n- Polycyclic aromatic polyketides: 11\n- Aromatic polyketides: 13\n- Xanthones: 9\n- Phenylpropanoids (C6-C3): 11\n- Naphthalenes: 5\n- Anthranilic acid alkaloids: 3\n- Diarylheptanoids: 2\n- Diterpenoids: 18\n- Steroids: 51\n- Ornithine alkaloids: 2\n- Aminosugars and aminoglycosides: 5\n- Meroterpenoids: 27\n- Diazotetronic acids and derivatives: 3\n- Glycerolipids: 62\n- Fatty Acids and Conjugates: 44\n- Sphingolipids: 3\n- Oligopeptides: 17\n- Phenolic acids (C6-C1): 15\n- Pseudoalkaloids: 3\n- β-lactams: 1\n- Fatty amides: 17\n- Tyrosine alkaloids: 1\n- Phloroglucinols: 2\n- Unknown: 198\n- Chromanes: 7\n- Linear polyketides: 9\n- Nicotinic acid alkaloids: 2\n- Spingolipids: 24\n- Fatty esters: 3\n- Pseudoalkaloids (transamidation): 1\n- Amino acid glycosides: 6\n- Histidine alkaloids: 1\n- Eicosanoids: 15\n- Fatty acyl glycosides: 2\n- Fatty acyls: 6\n- Polyethers: 2\n- Macrolides: 1\n- Polyols: 2\n- Cyclic polyketides: 3\n- Apocarotenoids: 3\n\nHere is the dictionary containing the question, generated SPARQL query, and file path to the query result:\n\n```json\n{\n \""question\"": \""What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\nPREFIX wd: \\n\\nSELECT ?superclass (COUNT(?superclass) AS ?count)\\nWHERE {\\n ?rawMaterial ns1:has_wd_id wd:Q10770714 .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis ns1:has_lcms_feature_list ?feature_list .\\n ?feature_list ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_canopus_annotation ?annotation .\\n ?annotation ns1:has_canopus_npc_superclass ?superclass .\\n}\\nGROUP BY ?superclass\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/228ff50f729b45f29855d7d12d4c18c9/tmp23kaqct7.csv\""\n}\n```"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the lab extracts that have more than 2,000 features detected. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the lab extracts that have more than 2,000 features detected. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the lab extracts that have more than 2,000 features detected."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Lab Extract, LCMS Feature). The question asks for lab extracts that have a certain number of features detected, which is information that can be retrieved from the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The query to retrieve lab extracts with more than 2,000 features detected has been executed. Here is the information:\n\n- **Question**: Retrieve the lab extracts that have more than 2,000 features detected.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?labExtract\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis.\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n {\n SELECT ?labExtract (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis. \n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n }\n GROUP BY ?labExtract\n HAVING (?featureCount > 2000)\n }\n }\n ```\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/1db966f1a9d44c269baae69dc24b9dbe/tmpgxqshpaa.csv`.\n\nPlease refer to the file for the detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The file containing the results of the SPARQL query has been processed. nIf you have any other specific criteria or information you would like to extract from the data, please let me know. Otherwise, you can download the data for further analysis.\n\nThe full path of the file generated is: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/1db966f1a9d44c269baae69dc24b9dbe/tmpgxqshpaa.csv`.\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""alkaloids, NPCClass: https://enpkg.commons-lab.org/kg/npc_Steroidal_alkaloids, NPCClass;\nTabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The LCMS feature with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts is identified by the feature IRI [https://enpkg.commons-lab.org/kg/lcms_feature_mzspec:MSV000087728:VGF152_A02_features_ms2_pos.mgf:scan:245](https://enpkg.commons-lab.org/kg/lcms_feature_mzspec:MSV000087728:VGF152_A02_features_ms2_pos.mgf:scan:245) with an area of 18,114,637.02276565.\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n- **Question**: What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?\n- **Generated SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?feature ?featureArea\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_feature_area ?featureArea .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n }\n ORDER BY DESC(?featureArea)\n LIMIT 1\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/84a24128512b453598395d8ed7f429dc/tmp8qjwsoaz.csv`"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Count the number of LCMS features in negative ionization mode"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Count the number of LCMS features in negative ionization mode"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Count the number of LCMS features in negative ionization mode"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The number of LCMS features in negative ionization mode is **364,967**.\n\nHere is the detailed information:\n- **Question**: Count the number of LCMS features in negative ionization mode.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?analysis a ns1:LCMSAnalysisNeg .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5a7c1625b95143fcb9f58943371653e9/tmp_dhsfq67.csv"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Terpenoids, https://enpkg.commons-lab.org/kg/npc_Terpenoids, NPCPathway;\nTabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides have been retrieved. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?retentionTime ?parentMass\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_pathway .\n ?feature ns1:has_retention_time ?retentionTime .\n ?feature ns1:has_parent_mass ?parentMass .\n }\n ```\n\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/610f86c362554edfa3e22989fd52acdf/tmpgt4cvneq.csv`.\n\nPlease check the file for detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides have been visualized. You can download the visualization file from the following path:\n\nVisualization filepath: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/610f86c362554edfa3e22989fd52acdf/tmpgt4cvneq.json`\n\nPlease use this file to view the detailed results. \n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000)."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000)."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000)."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The top-10 lab extracts with the most unique features detected, with a minimum feature area intensity of 500,000, are as follows:\n\n1. **Lab Extract:** [SC_AP_Wi_DCM](https://enpkg.commons-lab.org/kg/SC_AP_Wi_DCM) - **Unique Features:** 3437\n2. **Lab Extract:** [VGF140_F11](https://enpkg.commons-lab.org/kg/VGF140_F11) - **Unique Features:** 2035\n3. **Lab Extract:** [VGF153_D04](https://enpkg.commons-lab.org/kg/VGF153_D04) - **Unique Features:** 1952\n4. **Lab Extract:** [VGF154_G05](https://enpkg.commons-lab.org/kg/VGF154_G05) - **Unique Features:** 1813\n5. **Lab Extract:** [VGF153_F06](https://enpkg.commons-lab.org/kg/VGF153_F06) - **Unique Features:** 1786\n6. **Lab Extract:** [VGF154_C03](https://enpkg.commons-lab.org/kg/VGF154_C03) - **Unique Features:** 1640\n7. **Lab Extract:** [VGF153_G10](https://enpkg.commons-lab.org/kg/VGF153_G10) - **Unique Features:** 1617\n8. **Lab Extract:** [VGF154_A09](https://enpkg.commons-lab.org/kg/VGF154_A09) - **Unique Features:** 1615\n9. **Lab Extract:** [VGF154_B09](https://enpkg.commons-lab.org/kg/VGF154_B09) - **Unique Features:** 1601\n10. **Lab Extract:** [VGF142_D11](https://enpkg.commons-lab.org/kg/VGF142_D11) - **Unique Features:** 1543\n\nHere is the SPARQL query used to retrieve this information:\n\n```sparql\nPREFIX ns1: \nSELECT ?labExtract (COUNT(DISTINCT ?feature) AS ?uniqueFeatures)\nWHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_feature_area ?featureArea .\n FILTER(?featureArea >= 500000)\n}\nGROUP BY ?labExtract\nORDER BY DESC(?uniqueFeatures)\nLIMIT 10\n```\n\nThe data is stored in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e85c6df097e3431884ddbfcdc34f620d/tmp1u9qq1p9.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9 are:\n\n1. Lab Extract: [SC_AP_Wi_DCM](https://enpkg.commons-lab.org/kg/SC_AP_Wi_DCM) with 69 unique compounds.\n2. Lab Extract: [VGF153_F06](https://enpkg.commons-lab.org/kg/VGF153_F06) with 58 unique compounds.\n3. Lab Extract: [VGF156_B04](https://enpkg.commons-lab.org/kg/VGF156_B04) with 49 unique compounds.\n\nHere is the SPARQL query used to obtain this information:\n\n```sparql\nPREFIX ns1: \n\nSELECT ?labExtract (COUNT(DISTINCT ?compound) AS ?uniqueCompounds)\nWHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class ?compound .\n ?annotation ns1:has_canopus_npc_class_prob ?probability .\n FILTER(?probability > 0.9)\n}\nGROUP BY ?labExtract\nORDER BY DESC(?uniqueCompounds)\nLIMIT 3\n```\n\nThe results are saved in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5cf09a28bf1049dbb23b09915c0fc8e1/tmp35c6yy5y.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Trypanosoma cruzi, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL368, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""Here is the information you requested:\n\n- **Question**: What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?wd_id\n WHERE {\n ?chemicalEntity ns2:has_chembl_id ?chemblChemical .\n ?chemblChemical ns2:has_chembl_activity ?assayResults .\n ?assayResults ns2:target_id .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/18465df0915e441aa7285e242e5b5927/tmpsavbcot0.csv`.\n\nPlease let me know if you need further assistance!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The file has been processed, and here are some of the Wikidata IDs of chemical entities that have ChEMBL activity against the Trypanosoma cruzi target:\n\n1. [Q82238903](http://www.wikidata.org/entity/Q82238903)\n2. [Q27095836](http://www.wikidata.org/entity/Q27095836)\n\nThese IDs were extracted from the provided file. If you need further analysis or a specific visualization, please let me know. \n\nNo visualization file was generated, but the data can be downloaded from the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the chemical structure ISDB annotations for Lovoa trichilioides ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the chemical structure ISDB annotations for Lovoa trichilioides ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the chemical structure ISDB annotations for Lovoa trichilioides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Lovoa trichilioides, http://www.wikidata.org/entity/Q8008828, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the chemical structure ISDB annotations for Lovoa trichilioides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?Annotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?Annotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/597fde39a0474507b67d3ce263df2a5e/tmp9ukxy4rj.csv`\n\nI will now analyze the SPARQL output to provide the final answer.\nThe chemical structure ISDB annotations for Lovoa trichilioides have been retrieved. Here is the final answer:\n\n- **Question**: What are the chemical structure ISDB annotations for Lovoa trichilioides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?Annotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?Annotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/597fde39a0474507b67d3ce263df2a5e/tmp9ukxy4rj.csv`\n\nThe file contains the ISDB annotations for Lovoa trichilioides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata;\nrotenoids, https://enpkg.commons-lab.org/kg/npc_Rotenoids, NPCClass;\nTrypanosoma cruzi, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL368, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been executed successfully. Here is the information retrieved:\n\n### Question\nRetrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra.\n\n### SPARQL Query\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?wd_id ?usi\nWHERE {\n ?rawMaterial ns1:has_wd_id ;\n ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation ;\n ns1:has_usi ?usi .\n ?annotation ns1:has_canopus_npc_class .\n ?labExtract ns2:has_bioassay_results ?assayResult .\n ?assayResult ns2:target_id .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n }\n```\n\n### File Path\nThe results have been saved to a temporary file, which can be accessed at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/be66080199fb4930ae3c599b8c11507d/tmpn40oy4b_.csv`\n\nPlease let me know if you need further assistance or analysis on this data!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The analysis of the file has been completed. The data contains Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. It also includes the corresponding USIs to the MS/MS spectra.\n\nHere are the first few entries:\n- **Wikidata ID**: Q104399962\n- **USI**: mzspec:MSV000087728:VGF155_D05_features_ms2_ne...\n\nNo visualization was requested or generated for this analysis. The data can be downloaded for further examination.\n\nIf you need any additional insights or visualizations, please let me know!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Leishmania donovani, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL367, ChEMBLTarget"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed successfully. Here are the details:\n\n- **Question**: Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?InChIkey\n WHERE {\n ?chemicalEntity ns2:has_chembl_id ?chemblChemical .\n ?chemblChemical ns2:has_chembl_activity ?assayResults .\n ?assayResults ns2:target_id ;\n ns2:activity_type \""IC50\"" ;\n ns2:activity_value ?activityValue .\n FILTER(?activityValue < 500)\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n ?InChIkey ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e7807b50a3824198a3233798d22d9a4b/tmpp66dmbc6.csv\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The molecules that meet the criteria have been identified with the following InChIkey: [APKFDSVGJQXUKY-INPOYWNPSA-N](APKFDSVGJQXUKY-INPOYWNPSA-N).\n\n"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The compounds from Desmodium heterophyllum extracts that have annotations from both ISDB and SIRIUS, along with their molecular masses, are as follows:\n\n1. Compound: WITLAWYGGVAFLU, Mass: 379.1186828613281\n2. Compound: PKNGEQDEJRDPJZ, Mass: 407.2225646972656\n3. Compound: FHKQMPVRIQJSEJ, Mass: 313.1062774658203\n4. Compound: BWDGXQDVXMUNDT, Mass: 293.1019897460937\n5. Compound: QFTWSMLVOZYJPP, Mass: 337.1435089111328\n6. Compound: MIUNHNXJASJSIX, Mass: 425.1591796875\n7. Compound: ZSCRTFONTNMQBL, Mass: 247.16928100585935\n8. Compound: VZPAURMDJZOGHU, Mass: 445.208984375\n9. Compound: HEORSHPDPZGZCN, Mass: 349.143310546875\n10. Compound: GIVRDLOWBBXCNM, Mass: 351.1228332519531\n11. Compound: VZPAURMDJZOGHU, Mass: 445.2112426757813\n12. Compound: QQWYBWNEILZOKI, Mass: 321.1480407714844\n13. Compound: DTOSIQBPPRVQHS, Mass: 279.2320251464844\n14. Compound: DTOSIQBPPRVQHS, Mass: 279.2322692871094\n15. Compound: KSVKECXWDNCRTM, Mass: 403.20166015625\n16. Compound: CEAWIMABVSITMV, Mass: 383.1479187011719\n17. Compound: CVULDJMCSSACEO, Mass: 507.2290344238281\n18. Compound: KEJNXXMRDHDOCO, Mass: 279.10035705566406\n19. Compound: QQWYBWNEILZOKI, Mass: 321.14996337890625\n20. Compound: QQWYBWNEILZOKI, Mass: 321.1477355957031\n21. Compound: AOMUHOFOVNGZAN, Mass: 288.2526550292969\n22. Compound: YHZDBBUEVZEOIY, Mass: 271.0964050292969\n23. Compound: WRINUBCCCQLTPU, Mass: 365.13720703125\n24. Compound: GAGKUHAKUBMORD, Mass: 339.12274169921875\n25. Compound: CDZUQIFWCXAIFB, Mass: 443.13368225097656\n26. Compound: ZSCRTFONTNMQBL, Mass: 247.1693420410156\n27. Compound: HOMYIYLRRDTKAA, Mass: 714.5514831542969\n28. Compound: AOMUHOFOVNGZAN, Mass: 288.2525939941406\n29. Compound: OIMXTYUHMBQQJM, Mass: 393.3157348632813\n30. Compound: MEJLVLSNRYLDSG, Mass: 743.2880859375\n31. Compound: HEQLSVWMTJXPGS, Mass: 413.1593017578125\n32. Compound: WXWGKIBMPDYPTH, Mass: 265.08551025390625\n33. Compound: ICFXJOAKQGDRCT, Mass: 429.3733520507813\n34. Compound: QQWYBWNEILZOKI, Mass: 321.1485290527344\n35. Compound: XTLSKKJNOIMMBK, Mass: 295.0967102050781\n36. Compound: XTLSKKJNOIMMBK, Mass: 295.0966186523437\n37. Compound: XTLSKKJNOIMMBK, Mass: 295.0966491699219\n38. Compound: DTOSIQBPPRVQHS, Mass: 279.232177734375\n39. Compound: UKMCCFHULJHJNS, Mass: 427.3577575683594\n40. Compound: UKMCCFHULJHJNS, Mass: 427.3577423095703\n41. Compound: XTLSKKJNOIMMBK, Mass: 295.0967712402344\n42. Compound: XTLSKKJNOIMMBK, Mass: 295.0967102050781\n43. Compound: WECGLUPZRHILCT, Mass: 355.2845458984375\n44. Compound: QNPIEBGHSXVAOA, Mass: 702.5513305664062\n45. Compound: BWDGXQDVXMUNDT, Mass: 293.1017761230469\n46. Compound: XEVQXKKKAVVSMW, Mass: 197.1173095703125\n47. Compound: LUZSWWYKKLTDHU, Mass: 295.2268981933594\n48. Compound: ICFXJOAKQGDRCT, Mass: 429.3731689453125\n49. Compound: MIUNHNXJASJSIX, Mass: 425.158935546875\n50. Compound: AOMUHOFOVNGZAN, Mass: 288.2529754638672\n51. Compound: OZNMJHSEUFVTTG, Mass: 409.3470458984375\n52. Compound: GQSRIBUSVVSLSQ, Mass: 463.37884521484375\n53. Compound: HOMYIYLRRDTKAA, Mass: 714.550537109375\n54. Compound: HXYVTAGFYLMHSO, Mass: 300.2903747558594\n55. Compound: ORDAZKGHSNRHTD, Mass: 395.14947509765625\n56. Compound: AOMUHOFOVNGZAN, Mass: 288.2536163330078\n\nThe SPARQL query used to retrieve this data is:\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wd: \n\nSELECT ?compound ?mass\nWHERE {\n ?rawMaterial ns1:has_wd_id wd:Q10770714 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?isdbAnnotation .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?feature ns1:has_parent_mass ?mass .\n ?isdbAnnotation ns1:has_InChIkey2D ?compound .\n ?siriusAnnotation ns1:has_InChIkey2D ?compound .\n}\n```\n\nThe file path to the SPARQL output is: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/c6e1f9c0990546a88ca140657c7354d1/tmpez5ixi4n.csv`\n\nI will now provide this information to the supervisor."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides are:\n\n1. [M+H]+ with a frequency of 1079\n2. [M+NH4]+ with a frequency of 432\n3. [M+Na]+ with a frequency of 263\n4. [M+K]+ with a frequency of 65\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n- **Question**: What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?\n- **Generated SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?adduct (COUNT(?adduct) AS ?frequency)\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis a ns1:LCMSAnalysisPos .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_adduct ?adduct .\n }\n GROUP BY ?adduct\n ORDER BY DESC(?frequency)\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/d8669ea7b6ab4a75a171344bc71c5b61/tmpnm0aoqfg.csv`"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Hibiscus syriacus, http://www.wikidata.org/entity/Q157756, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus are as follows:\n\n1. InChIkey2D: [KEMQGTRYUADPNZ](https://enpkg.commons-lab.org/kg/KEMQGTRYUADPNZ) - Frequency: 2\n2. InChIkey2D: [DTOSIQBPPRVQHS](https://enpkg.commons-lab.org/kg/DTOSIQBPPRVQHS) - Frequency: 2\n3. InChIkey2D: [OUMMUORTBYSLFO](https://enpkg.commons-lab.org/kg/OUMMUORTBYSLFO) - Frequency: 2\n\nThese are the most frequently observed annotations, each appearing twice in the dataset. Here is the SPARQL query that was generated:\n\n```sparql\n PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?InChIkey2D (COUNT(?InChIkey2D) AS ?frequency)\\nWHERE {\\n ?rawMaterial ns1:has_wd_id .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis ns1:has_lcms_feature_list ?feature_list .\\n ?feature_list ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_sirius_annotation ?annotation .\\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\\n}\\nGROUP BY ?InChIkey2D\\nORDER BY DESC(?frequency)'"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question:How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The analysis has been completed. Here are the details:\n\n- **Question**: How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?feature ns1:has_isdb_annotation ?isdbAnnotation .\n ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n ?isdbAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n }\n ```\n- **Result**: 33,255 features have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations.\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/ec07f70ba3ec4a18abbb424a48145459/tmppclv2pge.csv`\n\nThis information should provide the necessary details for further analysis or reporting."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Melochia umbellata, http://www.wikidata.org/entity/Q6813281, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The lab extracts from Melochia umbellata that yield compounds analyzed in positive ionization mode LCMS with a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results are as follows:\n\n- **Lab Extract**: [VGF156_A06](https://enpkg.commons-lab.org/kg/VGF156_A06)\n - **Retention Time**: 4.198916666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 4.54375 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5790666666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7661 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.6830500000000002 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.089 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.6979 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5034166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.26885 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.1985333333333337 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.11295 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7891 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2292333333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.089 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5863333333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7204833333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7815333333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7054833333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.4656833333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2918833333333335 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.3785166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2292333333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.33065 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5962 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.4250166666666668 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.511016666666667 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.6655166666666663 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.8533833333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.8533833333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5034166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5034166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.3630666666666669 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7512166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 0.6451166666666667 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7661 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.9627166666666669 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2918833333333335 minutes\n - **Inhibition Percentage**: 89.9%\n\nThe SPARQL query used to retrieve this information is as follows:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wd: \n\nSELECT ?labExtract ?retentionTime ?inhibitionPercentage\nWHERE {\n ?rawMaterial ns1:has_wd_id wd:Q6813281 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis a ns1:LCMSAnalysisPos .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retentionTime .\n FILTER(?retentionTime < 6)\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage .\n FILTER(?inhibitionPercentage > 70)\n}\n```\n\nThe results are saved in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/461195db838a4810afb06014c87c0e6b/tmp_7t2umr1.csv`"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tetraketide meroterpenoids, https://enpkg.commons-lab.org/kg/npc_Tetraketide_meroterpenoids, NPCClass\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?submittedTaxon ?extract (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n ?featureList ns1:has_lcms_feature ?feature .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?extract ns1:has_LCMS ?analysis .\n ?rawMaterial ns1:has_lab_process ?extract .\n ?rawMaterial ns1:submitted_taxon ?submittedTaxon .\n }\n GROUP BY ?submittedTaxon ?extract\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/093ee098fbba4dca93f0404833ba35bb/tmpjqdqbx0d.csv\n\nI will now analyze the SPARQL output to generate the final answer.\nThe SPARQL query has been executed successfully. Here is the final answer based on the SPARQL output:\n\nThe number of features annotated as 'Tetraketide meroterpenoids' by CANOPUS for each submitted taxon and extract in the database is available in the generated CSV file.\n\n- **Question**: How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?submittedTaxon ?extract (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n ?featureList ns1:has_lcms_feature ?feature .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?extract ns1:has_LCMS ?analysis .\n ?rawMaterial ns1:has_lab_process ?extract .\n ?rawMaterial ns1:submitted_taxon ?submittedTaxon .\n }\n GROUP BY ?submittedTaxon ?extract\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/093ee098fbba4dca93f0404833ba35bb/tmpjqdqbx0d.csv\n\nYou can find the detailed results in the provided CSV file."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": [""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata"", ""Tabernaemontana genus, http://www.wikidata.org/entity/Q310915, Wikidata""], ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The final merged output file has been generated. Here are the details:\n\n- **Question**: Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?wd_id\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis a ns1:LCMSAnalysisPos .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_InChIkey2D ?inchiKey2D .\n ?inchiKey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/3b8bb2a213ab4b1faf41570486facaae/tmp4g0h_2d5.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The wikidata IDs of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata have been processed. \n\n"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question:What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Rumex nepalensis, http://www.wikidata.org/entity/Q11041204, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?retention_time ?parent_mass ?spec2vec_peak\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis a ns1:LCMSAnalysisPos .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retention_time .\n ?feature ns1:has_parent_mass ?parent_mass .\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\n ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vec_peak .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/7e32d9e48e274df9a04b4a01d1635276/tmpxmt6gmzo.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The LC-MS analysis of the plant Rumex nepalensis in positive ion mode provided the following details:\n\n- **Retention Time**: 5.938233\n- **Parent Mass**: 584.475128\n- **Spec2Vec Peaks**:\n - [Peak 130.14](https://enpkg.commons-lab.org/kg/peak_130.14)\n - [Peak 131.07](https://enpkg.commons-lab.org/kg/peak_131.07)\n - [Peak 221.14](https://enpkg.commons-lab.org/kg/peak_221.14)\n - [Peak 233.11](https://enpkg.commons-lab.org/kg/peak_233.11)\n - [Peak 265.17](https://enpkg.commons-lab.org/kg/peak_265.17)\n\nNo visualization was requested for this analysis. The data can be downloaded from the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Rauvolfia vomitoria, http://www.wikidata.org/entity/Q5225969, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract is 17.4%.\n\nHere is the detailed information:\n- **Question**: What is the highest inhibition percentage recorded for compounds from Rauvolfia vomitoria extract?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?inhibition_percentage\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q5225969 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibition_percentage .\n }\n ORDER BY DESC(?inhibition_percentage)\n LIMIT 1\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/2b0f38f9dd7b4e818282a1c620449ab2/tmpjoi_glcf.csv"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""List the bioassay results at 10µg/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the bioassay results at 10µg/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the bioassay results at 10µg/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The bioassay results at 10µg/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides are as follows:\n\n1. Lab Extract: [VGF152_B02](https://enpkg.commons-lab.org/kg/VGF152_B02)\n - BioAssay Result: [VGF152_B02_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF152_B02_Tcruzi_10ugml)\n\n2. Lab Extract: [VGF152_A02](https://enpkg.commons-lab.org/kg/VGF152_A02)\n - BioAssay Result: [VGF152_A02_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF152_A02_Tcruzi_10ugml)\n\n3. Lab Extract: [VGF151_G11](https://enpkg.commons-lab.org/kg/VGF151_G11)\n - BioAssay Result: [VGF151_G11_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF151_G11_Tcruzi_10ugml)\n\n4. Lab Extract: [VGF151_H11](https://enpkg.commons-lab.org/kg/VGF151_H11)\n - BioAssay Result: [VGF151_H11_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF151_H11_Tcruzi_10ugml)\n\nHere is the dictionary containing the question, generated SPARQL query, and file path to the query result:\n\n```json\n{\n \""question\"": \""List the bioassay results (BioAssayResults) at 10µg/mL against T.cruzi (Tcruzi10ugml) for lab extracts (LabExtract) of Tabernaemontana coffeoides.\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\nPREFIX wd: \\n\\nSELECT ?labExtract ?bioAssayResult\\nWHERE {\\n ?rawMaterial ns1:has_wd_id wd:Q15376858 .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\\n ?bioAssayResult a ns2:Tcruzi10ugml .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/341300dcf0174e67999e30cc1e34324b/tmpvt5pfz18.csv\""\n}\n```"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?siriusAnnotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation a ns1:SiriusStructureAnnotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/d851d6aa70ca4256a4862a6e4811b956/tmpr1p_smpd.csv`\n\nI will now analyze the SPARQL output to provide the final answer.\nThe SPARQL query has been executed successfully, and the results are stored in the specified file. Here is the final answer based on the SPARQL output:\n\n- **Question**: What are the SIRIUS structural annotations (SiriusStructureAnnotation) associated with the MS2 spectra (MS2Spectrum) from the lab extracts (LabExtract) of Tabernaemontana coffeoides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?siriusAnnotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation a ns1:SiriusStructureAnnotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/d851d6aa70ca4256a4862a6e4811b956/tmpr1p_smpd.csv`\n\nThe file contains the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides. You can access the detailed results in the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been executed to retrieve the LC-MS features observed in the extracts of Tabernaemontana coffeoides that are annotated with NPCPathways using CANOPUS. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?feature\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_pathway ?npcPathway .\n }\n ```\n\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/0a0e72082aef4788a45ec734c4f9b49c/tmpqlgm7k3g.csv`.\n\nPlease check the file for the detailed results of the query."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The LC-MS features observed in the extracts of Tabernaemontana coffeoides that are annotated with NPCPathways using CANOPUS have been successfully retrieved. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The tissue type used to produce the lab extracts of Tabernaemontana coffeoides is \""green tissue.\"" The lab extracts associated with this tissue type are:\n\n1. Lab Extract: VGF152_B02\n2. Lab Extract: VGF152_A02\n3. Lab Extract: VGF151_G11\n4. Lab Extract: VGF151_H11\n\nHere is the SPARQL query used to retrieve this information:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?tissue ?labExtract\nWHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?rawMaterial ns2:has_tissue ?tissue .\n}\n```\n\nThe data was retrieved from the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/79cf06dcfb4c4635bf92d845c42ea938/tmpo0nqoke3.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Terpenoids, https://enpkg.commons-lab.org/kg/npc_Terpenoids, NPCPathway;\nTabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""Here is the information retrieved from the SPARQL query:\n\n- **Question**: Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?wd_id\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns1:has_npc_pathway .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/40c708550e684b0685c41a14cae47bd2/tmpcgattsm4.csv`\n\nThis information will be provided to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The Wikidata IDs of the chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides are:\n\n1. [Q105262918](http://www.wikidata.org/entity/Q105262918)\n2. [Q104398790](http://www.wikidata.org/entity/Q104398790)\n3. [Q105262918](http://www.wikidata.org/entity/Q105262918)\n4. [Q104398790](http://www.wikidata.org/entity/Q104398790)\n5. [Q104953850](http://www.wikidata.org/entity/Q104953850)\n\nNo visualization is available, but the data can be downloaded if needed. If you need further analysis or a specific visualization, please let me know. \n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Raw Material, LCMS Analysis, SpectralPair). The plant name \""Desmodium heterophyllum\"" is present in the database. The question asks for mass differences and cosine similarity scores, which are properties of the SpectralPair entity in the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum have been retrieved. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n\n SELECT ?mass_difference ?cosine\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?spectralPair ns1:has_member ?feature .\n ?spectralPair ns1:has_mass_difference ?mass_difference .\n ?spectralPair ns1:has_cosine ?cosine .\n }\n ```\n\n- **File Path**: The results are stored in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/03572d09329f4855ab27963f8832666f/tmpsuxk8web.csv`.\n\nPlease refer to the file for detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum have been successfully interpreted. Here are some sample entries from the data:\n\n- Mass Difference: 218.2978, Cosine Similarity: 0.999612\n- Mass Difference: 46.0057, Cosine Similarity: 0.999888\n- Mass Difference: 140.0989, Cosine Similarity: 0.985793\n- Mass Difference: 160.1252, Cosine Similarity: 0.993816\n- Mass Difference: 162.1407, Cosine Similarity: 0.984198\n\nNo visualization is available, but the data can be downloaded from the provided file path. If you need a visualization, please let me know, and I can generate a plotly graph for you.\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here is the information:\n\n- **Question**: Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?chemblDocument ?labExtract (COUNT(?InChIkey2D) AS ?sharedCompoundCount)\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns2:has_chembl_id ?chemblChemical .\n\n ?chemblChemical ns2:has_chembl_activity ?assayResult .\n ?assayResult ns2:stated_in_document ?chemblDocument .\n }\n GROUP BY ?chemblDocument ?labExtract\n ORDER BY DESC(?sharedCompoundCount)\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/ff49c14268314ce9948ca2f02f8fc1d0/tmpy5x90ltz.csv`\n\nPlease refer to the file for detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The ChEMBL document and lab extract with the highest number of shared compounds are as follows:\n\n- **ChEMBL Document**: [https://www.ebi.ac.uk/chembl/document_report_c...](https://www.ebi.ac.uk/chembl/document_report_c...)\n- **Lab Extract**: [https://enpkg.commons-lab.org/kg/VGF142_G04](https://enpkg.commons-lab.org/kg/VGF142_G04)\n- **Shared Compound Count**: 125\n\nThis information provides the details of the ChEMBL document and lab extract with the highest number of shared compounds. If you need further analysis or visualization, please let me know.\n\nThe full path of the files generated are: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/ff49c14268314ce9948ca2f02f8fc1d0/tmpy5x90ltz.csv`\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?chembl_target\n WHERE {\n ?sirius_annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey .\n ?InChIkey ns2:has_chembl_id ?chembl_chemical .\n ?chembl_chemical ns2:has_chembl_activity ?chembl_assay_results .\n ?chembl_assay_results ns2:target_id ?chembl_target .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/f016f234d53147b3a0454bd652bc8f6b/tmppen79nmc.csv\n\nI will now analyze the SPARQL output to generate the final answer.\nThe final answer based on the SPARQL output is as follows:\n\n- **ChEMBL Targets (ChEMBLTarget)**: The ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations are listed in the file located at the following path:\n - **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/f016f234d53147b3a0454bd652bc8f6b/tmppen79nmc.csv\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""What are the ChEMBL targets (ChEMBLTarget) linked to ChEMBL assay results (ChEMBLAssayResults) for chemicals (ChEMBLChemical) sharing InChIKeys (InChIkey) with SIRIUS structural annotations (SiriusStructureAnnotation)?\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?chembl_target\\nWHERE {\\n ?sirius_annotation ns1:has_InChIkey2D ?InChIkey2D .\\n ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey .\\n ?InChIkey ns2:has_chembl_id ?chembl_chemical .\\n ?chembl_chemical ns2:has_chembl_activity ?chembl_assay_results .\\n ?chembl_assay_results ns2:target_id ?chembl_target .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/f016f234d53147b3a0454bd652bc8f6b/tmppen79nmc.csv\""\n}\n```\n\nPlease review the file for the detailed list of ChEMBL targets."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 µg/mL."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 µg/mL."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 µg/mL."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Leishmania donovani, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL367, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The top 5 tissues used to produce lab extracts containing compounds with inhibition activity greater than 70% against the Leishmania donovani target at 10 µg/mL are:\n\n1. Green Tissue (24 extracts)\n2. Root Tissue (17 extracts)\n3. Multiple Tissues (9 extracts)\n4. Woody Tissue (7 extracts)\n\nThe SPARQL query used to retrieve this information is as follows:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?tissue (COUNT(?labExtract) AS ?count)\nWHERE {\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ;\n ns2:target_id .\n FILTER(?inhibitionPercentage > 70)\n ?rawMaterial ns1:has_lab_process ?labExtract ;\n ns2:has_tissue ?tissue .\n}\nGROUP BY ?tissue\nORDER BY DESC(?count)\nLIMIT 5\n```\n\nThe data is stored in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/9aa4b47f0e764929989be2184095b3b0/tmp6u2rkep7.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature .\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?feature1 ?feature2 ?annotation1 ?annotation2 \n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature1, ?feature2 .\n ?pair ns1:has_member ?feature1, ?feature2 .\n ?pair ns1:has_cosine ?cosine .\n FILTER(?cosine > 0.8)\n ?feature1 ns1:has_canopus_annotation ?annotation1 .\n ?feature2 ns1:has_canopus_annotation ?annotation2 .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e88e690ae0ad4816a764af78599a625a/tmp2igkyrj2.csv\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The analysis has been completed, and there are 14,484 pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8. The features, annotations, and cosine scores have been extracted.\n\nIf you need more specific details or a visualization of this data, please let me know. The data can be downloaded for further analysis. \n\nThe full path of the generated file is:\n- /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e88e690ae0ad4816a764af78599a625a/tmp2igkyrj2.csv\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""What are SIRIUS structural annotations for LCMS features with cosmic scores above 0.3 associated with Tabernaemontana coffeoides? Report their ZODIAC scores."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are SIRIUS structural annotations for LCMS features with cosmic scores above 0.3 associated with Tabernaemontana coffeoides? Report their ZODIAC scores."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the cosmic scores and zodiac scores associated with SIRIUS structural annotations for LCMS features from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The zodiac scores associated with SIRIUS structural annotations for LCMS features from Tabernaemontana coffeoides have been retrieved. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?cosmic_score ?zodiac_score\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_cosmic_score ?cosmic_score .\n FILTER (?cosmic_score > 0.3) \n ?siriusAnnotation ns1:has_zodiac_score ?zodiac_score .\n }\n ```\n\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5137b0a478de42c5b07851d5252b3e4c/tmpn4ce1k2v.csv`\n\nPlease refer to the file for detailed scores."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" +"[{""type"": ""human"", ""content"": ""Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 µg/mL?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 µg/mL?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 µg/mL?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Leishmania donovani, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL367, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The lab extracts that have bioassay results with inhibition percentages above 50% against the Leishmania donovani target are identified by the following identifiers:\n\n- VGF159_F04\n- VGF159_B08\n- VGF159_B09\n- VGF159_E03\n- VGF159_H03\n- VGF158_C03\n- VGF158_B03\n- VGF158_G06\n- VGF158_A10\n- VGF158_H02\n- VGF158_A03\n- VGF158_D03\n- VGF158_D08\n- VGF158_C04\n- VGF158_H09\n- VGF158_G09\n- VGF157_C04\n- VGF157_D03\n- VGF157_H05\n- VGF157_C03\n- VGF157_C05\n- VGF157_D10\n- VGF157_E04\n- VGF156_E04\n- VGF156_D09\n- VGF156_A05\n- VGF155_B07\n- VGF155_A08\n- VGF155_E10\n- VGF155_D09\n- VGF155_C04\n- VGF155_B05\n- VGF155_C02\n- VGF155_A10\n- VGF155_F10\n- VGF155_D08\n- VGF154_A10\n- VGF154_A02\n- VGF154_A04\n- VGF152_G03\n- VGF152_H03\n- VGF152_D08\n- VGF152_H09\n- VGF152_A10\n- VGF151_A06\n- VGF151_A03\n- VGF151_H08\n- VGF151_H11\n- VGF147_H05\n- VGF147_F04\n- VGF147_G04\n- VGF146_F02\n- VGF145_G10\n- VGF144_E05\n- VGF143_G02\n- VGF142_G04\n- VGF142_B07\n- VGF142_G05\n- VGF142_B10\n- VGF141_C06\n- VGF141_B11\n- VGF140_E05\n- VGF140_A09\n- VGF139_A09\n- VGF139_D08\n- VGF138_B06\n- VGF138_E06\n- VGF138_E03\n- VGF138_E05\n- VGF138_G03\n\nThese identifiers correspond to specific lab extracts that have shown significant inhibition against the Leishmania donovani target.nHere is the SPARQL query that was generated:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?labExtract\nWHERE {\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ;\n ns2:target_id .\n ?bioAssayResult a ns2:Ldono10ugml.\n FILTER(?inhibitionPercentage > 50)\n}\n```\n\nIf you have any further questions or need additional information, feel free to ask!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","[""base""]" diff --git a/app/data/evaluation_dataset.csv b/app/data/evaluation_dataset.csv index c3b14dd..ef5b369 100644 --- a/app/data/evaluation_dataset.csv +++ b/app/data/evaluation_dataset.csv @@ -1,80 +1,146 @@ -#question,Questions,Traces,SPARQL Query,Complexity -1,"Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract.","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Entry_agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: \""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract .\"""", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Validator_agent"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""The entity \""aspidosperma-type alkaloids\"" was resolved to the following IRIs:\n\naspidosperma-type alkaloids, https://enpkg.commons-lab.org/kg/npc_Aspidosperma_type, NPCClass;\nNPCPathway, https://enpkg.commons-lab.org/kg/npc_Alkaloids, NPCPathway;\nNPCSuperClass, https://enpkg.commons-lab.org/kg/npc_Tyrosine_alkaloids, NPCSuperClass."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The extracts with features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids, are as follows:\n\n1. VGF152_B02: 74 features\n2. VGF157_D02: 11 features\n3. VGF147_B11: 10 features\n4. VGF153_C03: 7 features\n5. VGF157_E02: 2 features\n6. VGF154_D02: 2 features\n7. VGF147_A10: 2 features\n8. VGF140_F02: 2 features\n9. KP146_Positive: 1 feature\n10. KP317_Positive: 1 feature\n11. VGF159_B11: 1 feature\n12. VGF155_D07: 1 feature\n13. VGF154_H02: 1 feature\n14. VGF153_E07: 1 feature\n15. VGF153_G10: 1 feature\n16. VGF153_D03: 1 feature\n17. VGF153_F04: 1 feature\n18. VGF153_G09: 1 feature\n19. VGF153_F11: 1 feature\n20. VGF153_H04: 1 feature\n21. VGF153_B06: 1 feature\n22. VGF152_E06: 1 feature\n23. VGF151_F09: 1 feature\n24. VGF151_D06: 1 feature\n25. VGF151_E03: 1 feature\n26. VGF150_B11: 1 feature\n27. VGF150_B06: 1 feature\n28. VGF150_F09: 1 feature\n29. VGF150_H05: 1 feature\n30. VGF150_F06: 1 feature\n31. VGF147_D11: 1 feature\n32. VGF147_E10: 1 feature\n33. VGF143_E07: 1 feature\n34. VGF140_E02: 1 feature\n35. VGF139_D09: 1 feature\n36. SC_AP_Wi_DCM: 1 feature\n\nThe SPARQL query used to retrieve this information is:\n```sparql\nPREFIX ns1: \n\nSELECT ?labExtract (COUNT(?feature) AS ?featureCount)\nWHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis a ns1:LCMSAnalysisPos .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n ?annotation ns1:has_canopus_npc_class_prob ?probability .\n FILTER(?probability > 0.5)\n}\nGROUP BY ?labExtract\nORDER BY DESC(?featureCount)\n```\n\nThe results are saved in the file located at: `/tmp/kgbot/f36215b1a3114803ad38a18a9462eb29/tmp8u8o5vcv.csv`\n\nNext, I will generate a bar chart based on this data.\nHere is the dictionary containing the question, generated SPARQL query, and the file path to the results:\n\n```json\n{\n \""question\"": \""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract and provide a bar chart.\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\n\\nSELECT ?labExtract (COUNT(?feature) AS ?featureCount)\\nWHERE {\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis a ns1:LCMSAnalysisPos .\\n ?analysis ns1:has_lcms_feature_list ?feature_list .\\n ?feature_list ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_canopus_annotation ?annotation .\\n ?annotation ns1:has_canopus_npc_class .\\n ?annotation ns1:has_canopus_npc_class_prob ?probability .\\n FILTER(?probability > 0.5)\\n}\\nGROUP BY ?labExtract\\nORDER BY DESC(?featureCount)\"",\n \""file_path\"": \""/tmp/kgbot/f36215b1a3114803ad38a18a9462eb29/tmp8u8o5vcv.csv\""\n}\n```\n\nPlease use this information to generate the bar chart."", ""example"": false, ""additional_kwargs"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The extracts with features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids, are as follows:\n\n1. VGF152_B02: 74 features\n2. VGF157_D02: 11 features\n3. VGF147_B11: 10 features\n4. VGF153_C03: 7 features\n5. VGF157_E02: 2 features\n6. VGF154_D02: 2 features\n7. VGF147_A10: 2 features\n8. VGF140_F02: 2 features\n9. KP146_Positive: 1 feature\n10. KP317_Positive: 1 feature\n11. VGF159_B11: 1 feature\n12. VGF155_D07: 1 feature\n13. VGF154_H02: 1 feature\n14. VGF153_E07: 1 feature\n15. VGF153_G10: 1 feature\n16. VGF153_D03: 1 feature\n17. VGF153_F04: 1 feature\n18. VGF153_G09: 1 feature\n19. VGF153_F11: 1 feature\n20. VGF153_H04: 1 feature\n21. VGF153_B06: 1 feature\n22. VGF152_E06: 1 feature\n23. VGF151_F09: 1 feature\n24. VGF151_D06: 1 feature\n25. VGF151_E03: 1 feature\n26. VGF150_B11: 1 feature\n27. VGF150_B06: 1 feature\n28. VGF150_F09: 1 feature\n29. VGF150_H05: 1 feature\n30. VGF150_F06: 1 feature\n31. VGF147_D11: 1 feature\n32. VGF147_E10: 1 feature\n33. VGF143_E07: 1 feature\n34. VGF140_E02: 1 feature\n35. VGF139_D09: 1 feature\n36. SC_AP_Wi_DCM: 1 feature\n\nT"", ""example"": false, ""additional_kwargs"": {}}]}","PREFIX ns1: +#,Questions,Reference SPARQL Query,Complexity +1," ""Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts.""","PREFIX ns1: + PREFIX ns2: -SELECT ?labExtract (COUNT(?feature) AS ?featureCount) -WHERE { - ?labExtract ns1:has_LCMS ?analysis . - ?analysis a ns1:LCMSAnalysisPos . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_canopus_annotation ?annotation . - ?annotation ns1:has_canopus_npc_class . - ?annotation ns1:has_canopus_npc_class_prob ?probability . - FILTER(?probability > 0.5) -} -GROUP BY ?labExtract -ORDER BY DESC(?featureCount)",High -2,"Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage.","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Melochia umbellata, http://www.wikidata.org/entity/Q6813281, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The lab extracts from Melochia umbellata that yield compounds analyzed in positive ionization mode LCMS with a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results are as follows:\n\n- **Lab Extract**: [VGF156_A06](https://enpkg.commons-lab.org/kg/VGF156_A06)\n - **Retention Time**: 4.198916666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 4.54375 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5790666666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7661 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.6830500000000002 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.089 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.6979 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5034166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.26885 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.1985333333333337 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.11295 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7891 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2292333333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.089 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5863333333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7204833333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7815333333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7054833333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.4656833333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2918833333333335 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.3785166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2292333333333334 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.33065 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5962 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.4250166666666668 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.511016666666667 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.6655166666666663 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.8533833333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.8533833333333332 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5034166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.5034166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.3630666666666669 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7512166666666666 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 0.6451166666666667 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.7661 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.9627166666666669 minutes\n - **Inhibition Percentage**: 89.9%\n \n - **Retention Time**: 1.2918833333333335 minutes\n - **Inhibition Percentage**: 89.9%\n\nThe SPARQL query used to retrieve this information is as follows:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wd: \n\nSELECT ?labExtract ?retentionTime ?inhibitionPercentage\nWHERE {\n ?rawMaterial ns1:has_wd_id wd:Q6813281 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis a ns1:LCMSAnalysisPos .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retentionTime .\n FILTER(?retentionTime < 6)\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage .\n FILTER(?inhibitionPercentage > 70)\n}\n```\n\nThe results are saved in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/461195db838a4810afb06014c87c0e6b/tmp_7t2umr1.csv`"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + SELECT ?plant ?labExtract + WHERE { + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_parent_mass ?mass . + FILTER(?mass > 800) + ?labExtract ns2:has_bioassay_results ?bioAssayResult . + ?bioAssayResult ns2:inhibition_percentage ?inhibition . + FILTER(?inhibition > 50) + ?bioAssayResult ns2:target_id . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?rawMaterial ns1:submitted_taxon ?plant . + }",High +2,"""Filter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm). Provide the features and retention time.""","PREFIX ns1: PREFIX ns2: -PREFIX wd: +PREFIX wdt: -SELECT ?labExtract ?retentionTime ?inhibitionPercentage +SELECT ?posFeature ?negFeature WHERE { - ?rawMaterial ns1:has_wd_id wd:Q6813281 . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis a ns1:LCMSAnalysisPos . - ?analysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_retention_time ?retentionTime . - FILTER(?retentionTime < 6) - ?labExtract ns2:has_bioassay_results ?bioAssayResult . - ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage . - FILTER(?inhibitionPercentage > 70) -}",Medium -3,"Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The compounds from Desmodium heterophyllum extracts that have annotations from both ISDB and SIRIUS, along with their molecular masses, are as follows:\n\n1. Compound: WITLAWYGGVAFLU, Mass: 379.1186828613281\n2. Compound: PKNGEQDEJRDPJZ, Mass: 407.2225646972656\n3. Compound: FHKQMPVRIQJSEJ, Mass: 313.1062774658203\n4. Compound: BWDGXQDVXMUNDT, Mass: 293.1019897460937\n5. Compound: QFTWSMLVOZYJPP, Mass: 337.1435089111328\n6. Compound: MIUNHNXJASJSIX, Mass: 425.1591796875\n7. Compound: ZSCRTFONTNMQBL, Mass: 247.16928100585935\n8. Compound: VZPAURMDJZOGHU, Mass: 445.208984375\n9. Compound: HEORSHPDPZGZCN, Mass: 349.143310546875\n10. Compound: GIVRDLOWBBXCNM, Mass: 351.1228332519531\n11. Compound: VZPAURMDJZOGHU, Mass: 445.2112426757813\n12. Compound: QQWYBWNEILZOKI, Mass: 321.1480407714844\n13. Compound: DTOSIQBPPRVQHS, Mass: 279.2320251464844\n14. Compound: DTOSIQBPPRVQHS, Mass: 279.2322692871094\n15. Compound: KSVKECXWDNCRTM, Mass: 403.20166015625\n16. Compound: CEAWIMABVSITMV, Mass: 383.1479187011719\n17. Compound: CVULDJMCSSACEO, Mass: 507.2290344238281\n18. Compound: KEJNXXMRDHDOCO, Mass: 279.10035705566406\n19. Compound: QQWYBWNEILZOKI, Mass: 321.14996337890625\n20. Compound: QQWYBWNEILZOKI, Mass: 321.1477355957031\n21. Compound: AOMUHOFOVNGZAN, Mass: 288.2526550292969\n22. Compound: YHZDBBUEVZEOIY, Mass: 271.0964050292969\n23. Compound: WRINUBCCCQLTPU, Mass: 365.13720703125\n24. Compound: GAGKUHAKUBMORD, Mass: 339.12274169921875\n25. Compound: CDZUQIFWCXAIFB, Mass: 443.13368225097656\n26. Compound: ZSCRTFONTNMQBL, Mass: 247.1693420410156\n27. Compound: HOMYIYLRRDTKAA, Mass: 714.5514831542969\n28. Compound: AOMUHOFOVNGZAN, Mass: 288.2525939941406\n29. Compound: OIMXTYUHMBQQJM, Mass: 393.3157348632813\n30. Compound: MEJLVLSNRYLDSG, Mass: 743.2880859375\n31. Compound: HEQLSVWMTJXPGS, Mass: 413.1593017578125\n32. Compound: WXWGKIBMPDYPTH, Mass: 265.08551025390625\n33. Compound: ICFXJOAKQGDRCT, Mass: 429.3733520507813\n34. Compound: QQWYBWNEILZOKI, Mass: 321.1485290527344\n35. Compound: XTLSKKJNOIMMBK, Mass: 295.0967102050781\n36. Compound: XTLSKKJNOIMMBK, Mass: 295.0966186523437\n37. Compound: XTLSKKJNOIMMBK, Mass: 295.0966491699219\n38. Compound: DTOSIQBPPRVQHS, Mass: 279.232177734375\n39. Compound: UKMCCFHULJHJNS, Mass: 427.3577575683594\n40. Compound: UKMCCFHULJHJNS, Mass: 427.3577423095703\n41. Compound: XTLSKKJNOIMMBK, Mass: 295.0967712402344\n42. Compound: XTLSKKJNOIMMBK, Mass: 295.0967102050781\n43. Compound: WECGLUPZRHILCT, Mass: 355.2845458984375\n44. Compound: QNPIEBGHSXVAOA, Mass: 702.5513305664062\n45. Compound: BWDGXQDVXMUNDT, Mass: 293.1017761230469\n46. Compound: XEVQXKKKAVVSMW, Mass: 197.1173095703125\n47. Compound: LUZSWWYKKLTDHU, Mass: 295.2268981933594\n48. Compound: ICFXJOAKQGDRCT, Mass: 429.3731689453125\n49. Compound: MIUNHNXJASJSIX, Mass: 425.158935546875\n50. Compound: AOMUHOFOVNGZAN, Mass: 288.2529754638672\n51. Compound: OZNMJHSEUFVTTG, Mass: 409.3470458984375\n52. Compound: GQSRIBUSVVSLSQ, Mass: 463.37884521484375\n53. Compound: HOMYIYLRRDTKAA, Mass: 714.550537109375\n54. Compound: HXYVTAGFYLMHSO, Mass: 300.2903747558594\n55. Compound: ORDAZKGHSNRHTD, Mass: 395.14947509765625\n56. Compound: AOMUHOFOVNGZAN, Mass: 288.2536163330078\n\nThe SPARQL query used to retrieve this data is:\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wd: \n\nSELECT ?compound ?mass\nWHERE {\n ?rawMaterial ns1:has_wd_id wd:Q10770714 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?isdbAnnotation .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?feature ns1:has_parent_mass ?mass .\n ?isdbAnnotation ns1:has_InChIkey2D ?compound .\n ?siriusAnnotation ns1:has_InChIkey2D ?compound .\n}\n```\n\nThe file path to the SPARQL output is: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/c6e1f9c0990546a88ca140657c7354d1/tmpez5ixi4n.csv`\n\nI will now provide this information to the supervisor."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?rawMaterial ns1:has_wd_id ; + ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?posAnalysis, ?negAnalysis . + ?posAnalysis a ns1:LCMSAnalysisPos ; + ns1:has_lcms_feature_list ?posFeatureList . + ?negAnalysis a ns1:LCMSAnalysisNeg ; + ns1:has_lcms_feature_list ?negFeatureList . + ?posFeatureList ns1:has_lcms_feature ?posFeature . + ?negFeatureList ns1:has_lcms_feature ?negFeature . + ?posFeature ns1:has_sirius_annotation ?posAnnotation ; + ns1:has_retention_time ?posRT ; + ns1:has_parent_mass ?posMass . + ?negFeature ns1:has_sirius_annotation ?negAnnotation ; + ns1:has_retention_time ?negRT ; + ns1:has_parent_mass ?negMass . + ?posAnnotation ns1:has_sirius_adduct ""[M+H]+"" . + ?negAnnotation ns1:has_sirius_adduct ""[M-H]-"" . + FILTER (ABS(?posRT - ?negRT) <= 3) + FILTER (ABS(?posMass - ?negMass) / ?posMass <= 0.000005) +}",High +3," ""How unique InChIKey2D are among the structural annotations?""","PREFIX ns1: + + SELECT (COUNT(DISTINCT ?InChIkey2D) AS ?uniqueInChIkey2DCount) + WHERE { + ?annotation ns1:has_InChIkey2D ?InChIkey2D . + }",Low +4," ""What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?"" +","PREFIX ns1: + PREFIX ns2: + PREFIX wd: + + SELECT ?retentionTime ?molecularMass ?canopusClass + WHERE { + ?rawMaterial ns1:has_wd_id wd:Q8008828 . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?lcmsAnalysisNeg . + ?lcmsAnalysisNeg a ns1:LCMSAnalysisNeg . + ?lcmsAnalysisNeg ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_retention_time ?retentionTime . + ?feature ns1:has_parent_mass ?molecularMass . + ?feature ns1:has_canopus_annotation ?canopusAnnotation . + ?canopusAnnotation ns1:has_canopus_npc_class ?canopusClass . + }",High +5," ""What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4??"" +","PREFIX ns1: + PREFIX ns2: + + SELECT ?retentionTime ?adduct + WHERE { + ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_retention_time ?retentionTime . + ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?siriusAnnotation ns1:has_cosmic_score ?cosmicScore . + ?siriusAnnotation ns1:has_adduct ?adduct . + FILTER(?cosmicScore > 0.4) + }",High +6," ""What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode ? Sort by decreasing feature area value.""","PREFIX ns1: + + SELECT ?feature + WHERE { + ?analysis a ns1:LCMSAnalysisPos . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_feature_area ?area . + FILTER(?area > 1000000) + } ORDER BY DESC(?area)",Low +7," ""Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precusor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?""","PREFIX ns1: PREFIX ns2: -PREFIX wd: -SELECT ?compound ?mass +SELECT ?smiles ?wd_id WHERE { - ?rawMaterial ns1:has_wd_id wd:Q10770714 . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . ?analysis ns1:has_lcms_feature_list ?feature_list . ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_isdb_annotation ?isdbAnnotation . - ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?feature ns1:has_sirius_annotation ?annotation . + ?annotation ns1:has_InChIkey2D ?InChIkey2D . + ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity . + ?chemicalEntity ns1:has_smiles ?smiles ; + ns1:has_wd_id ?wd_id . ?feature ns1:has_parent_mass ?mass . - ?isdbAnnotation ns1:has_InChIkey2D ?compound . - ?siriusAnnotation ns1:has_InChIkey2D ?compound . -}",High -4,How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tetraketide meroterpenoids, https://enpkg.commons-lab.org/kg/npc_Tetraketide_meroterpenoids, NPCClass\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?submittedTaxon ?extract (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n ?featureList ns1:has_lcms_feature ?feature .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?extract ns1:has_LCMS ?analysis .\n ?rawMaterial ns1:has_lab_process ?extract .\n ?rawMaterial ns1:submitted_taxon ?submittedTaxon .\n }\n GROUP BY ?submittedTaxon ?extract\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/093ee098fbba4dca93f0404833ba35bb/tmpjqdqbx0d.csv\n\nI will now analyze the SPARQL output to generate the final answer.\nThe SPARQL query has been executed successfully. Here is the final answer based on the SPARQL output:\n\nThe number of features annotated as 'Tetraketide meroterpenoids' by CANOPUS for each submitted taxon and extract in the database is available in the generated CSV file.\n\n- **Question**: How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?submittedTaxon ?extract (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n ?featureList ns1:has_lcms_feature ?feature .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?extract ns1:has_LCMS ?analysis .\n ?rawMaterial ns1:has_lab_process ?extract .\n ?rawMaterial ns1:submitted_taxon ?submittedTaxon .\n }\n GROUP BY ?submittedTaxon ?extract\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/093ee098fbba4dca93f0404833ba35bb/tmpjqdqbx0d.csv\n\nYou can find the detailed results in the provided CSV file."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +} +ORDER BY DESC(?mass) +LIMIT 1",High +8," ""Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides.""","PREFIX ns1: + PREFIX ns2: + PREFIX wd: - SELECT ?submittedTaxon ?extract (COUNT(?feature) AS ?featureCount) + SELECT ?spec2vecPeak ?spec2vecLoss (COUNT(?spec2vecPeak) AS ?peakFrequency) (COUNT(?spec2vecLoss) AS ?lossFrequency) WHERE { - ?feature ns1:has_canopus_annotation ?annotation . - ?annotation ns1:has_canopus_npc_class . - ?featureList ns1:has_lcms_feature ?feature . + ?rawMaterial ns1:has_wd_id wd:Q15376858 . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . ?analysis ns1:has_lcms_feature_list ?featureList . - ?extract ns1:has_LCMS ?analysis . - ?rawMaterial ns1:has_lab_process ?extract . - ?rawMaterial ns1:submitted_taxon ?submittedTaxon . - } - GROUP BY ?submittedTaxon ?extract",Medium -5,How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question:How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The analysis has been completed. Here are the details:\n\n- **Question**: How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?feature ns1:has_isdb_annotation ?isdbAnnotation .\n ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n ?isdbAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n }\n ```\n- **Result**: 33,255 features have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations.\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/ec07f70ba3ec4a18abbb424a48145459/tmppclv2pge.csv`\n\nThis information should provide the necessary details for further analysis or reporting."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_spec2vec_doc ?spec2vecDoc . + ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vecPeak . + ?spec2vecDoc ns1:has_spec2vec_loss ?spec2vecLoss . + } GROUP BY ?spec2vecPeak ?spec2vecLoss + ORDER BY DESC(?peakFrequency) DESC(?lossFrequency) + LIMIT 1",Medium +9," ""What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features.""","PREFIX ns1: - SELECT (COUNT(?feature) AS ?featureCount) + SELECT ?feature WHERE { + ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_sirius_annotation ?siriusAnnotation . - ?feature ns1:has_isdb_annotation ?isdbAnnotation . - ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D . - ?isdbAnnotation ns1:has_InChIkey2D ?InChIkey2D . - }",Medium -6,"For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Melochia umbellata, http://www.wikidata.org/entity/Q6813281, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n### Question:\nFor features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D.\n\n### Generated SPARQL Query:\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wd: \n\nSELECT ?featurePos ?retentionTime ?InChIkey2D\nWHERE {\n ?rawMaterial ns1:has_wd_id wd:Q6813281 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsPos .\n ?lcmsPos a ns1:LCMSAnalysisPos .\n ?lcmsPos ns1:has_lcms_feature_list ?featureListPos .\n ?featureListPos ns1:has_lcms_feature ?featurePos .\n ?featurePos ns1:has_retention_time ?retentionTime .\n ?featurePos ns1:has_sirius_annotation ?siriusAnnotationPos .\n ?siriusAnnotationPos ns1:has_InChIkey2D ?InChIkey2D .\n\n ?labExtract ns1:has_LCMS ?lcmsNeg .\n ?lcmsNeg a ns1:LCMSAnalysisNeg .\n ?lcmsNeg ns1:has_lcms_feature_list ?featureListNeg .\n ?featureListNeg ns1:has_lcms_feature ?featureNeg .\n ?featureNeg ns1:has_retention_time ?retentionTimeNeg .\n ?featureNeg ns1:has_sirius_annotation ?siriusAnnotationNeg .\n ?siriusAnnotationNeg ns1:has_InChIkey2D ?InChIkey2D .\n\n FILTER (ABS(?retentionTime - ?retentionTimeNeg) <= 0.05)\n}\n```\n\n### File Path:\nThe results of the query have been saved to the following file path:\n`/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/6966291902c9490ab2b949339c4c2797/tmp_cptewcz.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?analysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:fast_search_gnpslibrary_analog ?analog . + }",High +10,"""For features from the Melochia umbellata taxon in pos ionization mode with SIRIUS annotations, get the ones for which a feature in neg ionization mode with the same retention time (+/- 0.05 minutes) has the same SIRIUS annotation by comparing the InCHIKey 2D. Return the features, retention times, and InChIKey2D""","PREFIX ns1: PREFIX ns2: PREFIX wd: @@ -100,219 +166,96 @@ WHERE { FILTER (ABS(?retentionTime - ?retentionTimeNeg) <= 0.05) }",High -7,"What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n SELECT ?sample ?taxon ?labProcess ?label\n WHERE {\n ?sample ns1:has_wd_id ?taxon .\n ?sample ns1:has_lab_process ?labProcess .\n OPTIONAL { ?sample rdfs:label ?label . }\n }\n ORDER BY ?sample ?labProcess\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5642f76045424334a801e191d6ed4563/tmp9g_oyjum.csv\n\nPlease review the file at the provided path for the detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The taxons, lab process, and labels (if any) for each sample have been sorted by sample and then by lab process. Here is a snippet of the sorted data:\n\n| Sample | Taxon | Lab Process | Label |\n|------------------------------------------|------------------------------------------|--------------------------------------------|-------|\n| http://www.wikidata.org/entity/Q11086771 | http://www.wikidata.org/entity/Q11086771 | https://enpkg.commons-lab.org/kg/KP001_Positive | NaN |\n| http://www.wikidata.org/entity/Q11272377 | http://www.wikidata.org/entity/Q11272377 | https://enpkg.commons-lab.org/kg/KP002_Positive | NaN |\n| http://www.wikidata.org/entity/Q11086771 | http://www.wikidata.org/entity/Q11086771 | https://enpkg.commons-lab.org/kg/KP003_Positive | NaN |\n| http://www.wikidata.org/entity/Q11272377 | http://www.wikidata.org/entity/Q11272377 | https://enpkg.commons-lab.org/kg/KP004_Positive | NaN |\n| http://www.wikidata.org/entity/Q5978345 | http://www.wikidata.org/entity/Q5978345 | https://enpkg.commons-lab.org/kg/KP005_Positive | NaN |\n\nThe full path of the file generated is:\n- /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5642f76045424334a801e191d6ed4563/tmp9g_oyjum.csv\n\nYou can download the file for the complete details."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - SELECT ?sample ?taxon ?labProcess ?label - WHERE { - ?sample ns1:has_wd_id ?taxon . - ?sample ns1:has_lab_process ?labProcess . - OPTIONAL { ?sample rdfs:label ?label . } - } - ORDER BY ?sample ?labProcess",Low -8,"What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question:What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Rumex nepalensis, http://www.wikidata.org/entity/Q11041204, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?retention_time ?parent_mass ?spec2vec_peak\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis a ns1:LCMSAnalysisPos .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retention_time .\n ?feature ns1:has_parent_mass ?parent_mass .\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\n ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vec_peak .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/7e32d9e48e274df9a04b4a01d1635276/tmpxmt6gmzo.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The LC-MS analysis of the plant Rumex nepalensis in positive ion mode provided the following details:\n\n- **Retention Time**: 5.938233\n- **Parent Mass**: 584.475128\n- **Spec2Vec Peaks**:\n - [Peak 130.14](https://enpkg.commons-lab.org/kg/peak_130.14)\n - [Peak 131.07](https://enpkg.commons-lab.org/kg/peak_131.07)\n - [Peak 221.14](https://enpkg.commons-lab.org/kg/peak_221.14)\n - [Peak 233.11](https://enpkg.commons-lab.org/kg/peak_233.11)\n - [Peak 265.17](https://enpkg.commons-lab.org/kg/peak_265.17)\n\nNo visualization was requested for this analysis. The data can be downloaded from the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +11,"""List the lab extracts that have inhibition percentages above 50% at 2µg/mL against Trypanosoma brucei rhodesiense .""","PREFIX ns1: PREFIX ns2: - SELECT ?retention_time ?parent_mass ?spec2vec_peak + SELECT ?labExtract WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?lcmsAnalysis . - ?lcmsAnalysis a ns1:LCMSAnalysisPos . - ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_retention_time ?retention_time . - ?feature ns1:has_parent_mass ?parent_mass . - ?feature ns1:has_spec2vec_doc ?spec2vecDoc . - ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vec_peak . + ?labExtract ns2:has_bioassay_results ?bioAssayResult . + ?bioAssayResult ns2:target_id . + { + ?bioAssayResult a ns2:Tbrucei2ugml . + } }",Medium -9,Count the number of LCMS features in negative ionization mode,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Count the number of LCMS features in negative ionization mode"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Count the number of LCMS features in negative ionization mode"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The number of LCMS features in negative ionization mode is **364,967**.\n\nHere is the detailed information:\n- **Question**: Count the number of LCMS features in negative ionization mode.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?analysis a ns1:LCMSAnalysisNeg .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5a7c1625b95143fcb9f58943371653e9/tmp_dhsfq67.csv"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - - SELECT (COUNT(?feature) AS ?featureCount) - WHERE { - ?analysis a ns1:LCMSAnalysisNeg . - ?analysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - }",Low -10,Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Leishmania donovani, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL367, ChEMBLTarget"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed successfully. Here are the details:\n\n- **Question**: Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?InChIkey\n WHERE {\n ?chemicalEntity ns2:has_chembl_id ?chemblChemical .\n ?chemblChemical ns2:has_chembl_activity ?assayResults .\n ?assayResults ns2:target_id ;\n ns2:activity_type \""IC50\"" ;\n ns2:activity_value ?activityValue .\n FILTER(?activityValue < 500)\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n ?InChIkey ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e7807b50a3824198a3233798d22d9a4b/tmpp66dmbc6.csv\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The molecules that meet the criteria have been identified with the following InChIkey: [APKFDSVGJQXUKY-INPOYWNPSA-N](APKFDSVGJQXUKY-INPOYWNPSA-N).\n\n"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +12," ""Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides""","PREFIX ns1: PREFIX ns2: - SELECT ?InChIkey - WHERE { - ?chemicalEntity ns2:has_chembl_id ?chemblChemical . - ?chemblChemical ns2:has_chembl_activity ?assayResults . - ?assayResults ns2:target_id ; - ns2:activity_type ""IC50"" ; - ns2:activity_value ?activityValue . - FILTER(?activityValue < 500) - ?chemicalEntity ns1:has_wd_id ?wd_id . - ?InChIkey ns1:has_wd_id ?wd_id . - }",High -11,What are the mass spectrometry features detected only in the plant Rumex nepalensis?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the mass spectrometry features detected only in the plant Rumex nepalensis?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the mass spectrometry features detected only in the plant Rumex nepalensis?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Rumex nepalensis, http://www.wikidata.org/entity/Q11041204, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the mass spectrometry features detected only in the plant Rumex nepalensis?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?feature\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q11041204 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/966c850620f7440182889fe9b80a1edb/tmp4z32di1l.csv\n\nI will now analyze the SPARQL output to provide the final answer.\nThe mass spectrometry features detected for the plant Rumex nepalensis can be found in the file located at the following path:\n\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/966c850620f7440182889fe9b80a1edb/tmp4z32di1l.csv\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""What are the mass spectrometry features detected for the plant Rumex nepalensis?\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\nPREFIX wd: \\n\\nSELECT ?feature\\nWHERE {\\n ?rawMaterial ns1:has_wd_id wd:Q11041204 .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis ns1:has_lcms_feature_list ?featureList .\\n ?featureList ns1:has_lcms_feature ?feature .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/966c850620f7440182889fe9b80a1edb/tmp4z32di1l.csv\""\n}\n```\n\nPlease review the file for the detailed mass spectrometry features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The mass spectrometry features detected for the plant Rumex nepalensis are as follows:\n\n1. [LCMS Feature 1](https://enpkg.commons-lab.org/kg/lcms_feature_1)\n2. [LCMS Feature 2](https://enpkg.commons-lab.org/kg/lcms_feature_2)\n3. [LCMS Feature 3](https://enpkg.commons-lab.org/kg/lcms_feature_3)\n4. [LCMS Feature 4](https://enpkg.commons-lab.org/kg/lcms_feature_4)\n5. [LCMS Feature 5](https://enpkg.commons-lab.org/kg/lcms_feature_5)\n\nNo visualization was requested for this analysis. The data can be downloaded from the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - PREFIX wd: - - SELECT ?feature + SELECT ?spec2vecDoc WHERE { - ?rawMaterial ns1:has_wd_id wd:Q11041204 . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?featureList . + ?labExtract ns1:has_LCMS ?lcmsAnalysis . + ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . ?featureList ns1:has_lcms_feature ?feature . - }",Low -12,What are the chemical structure ISDB annotations for Lovoa trichilioides ?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the chemical structure ISDB annotations for Lovoa trichilioides ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the chemical structure ISDB annotations for Lovoa trichilioides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Lovoa trichilioides, http://www.wikidata.org/entity/Q8008828, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the chemical structure ISDB annotations for Lovoa trichilioides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?Annotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?Annotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/597fde39a0474507b67d3ce263df2a5e/tmp9ukxy4rj.csv`\n\nI will now analyze the SPARQL output to provide the final answer.\nThe chemical structure ISDB annotations for Lovoa trichilioides have been retrieved. Here is the final answer:\n\n- **Question**: What are the chemical structure ISDB annotations for Lovoa trichilioides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?Annotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?Annotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/597fde39a0474507b67d3ce263df2a5e/tmp9ukxy4rj.csv`\n\nThe file contains the ISDB annotations for Lovoa trichilioides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - - SELECT ?Annotation - WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_isdb_annotation ?Annotation . + ?feature ns1:has_spec2vec_doc ?spec2vecDoc . }",Medium -13,What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Rauvolfia vomitoria, http://www.wikidata.org/entity/Q5225969, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract is 17.4%.\n\nHere is the detailed information:\n- **Question**: What is the highest inhibition percentage recorded for compounds from Rauvolfia vomitoria extract?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?inhibition_percentage\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q5225969 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibition_percentage .\n }\n ORDER BY DESC(?inhibition_percentage)\n LIMIT 1\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/2b0f38f9dd7b4e818282a1c620449ab2/tmpjoi_glcf.csv"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - PREFIX wd: - - SELECT ?inhibition_percentage - WHERE { - ?rawMaterial ns1:has_wd_id wd:Q5225969 . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns2:has_bioassay_results ?bioAssayResult . - ?bioAssayResult ns2:inhibition_percentage ?inhibition_percentage . - } - ORDER BY DESC(?inhibition_percentage) - LIMIT 1",Low -14,"What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Lovoa trichilioides, http://www.wikidata.org/entity/Q8008828, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the retention times and molecular masses of compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts, and what are the CANOPUS chemical class annotations for those features?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?retentionTime ?molecularMass ?canopusClass\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q8008828 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysisNeg .\n ?lcmsAnalysisNeg a ns1:LCMSAnalysisNeg .\n ?lcmsAnalysisNeg ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retentionTime .\n ?feature ns1:has_parent_mass ?molecularMass .\n ?feature ns1:has_canopus_annotation ?canopusAnnotation .\n ?canopusAnnotation ns1:has_canopus_npc_class ?canopusClass .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/1ee4538b31f946faaa8a05370b67774f/tmpwx92t25x.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The retention times, molecular masses, and CANOPUS chemical class annotations for the compounds identified in the negative ionization mode LCMS analysis from Lovoa trichilioides extracts have been processed. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - PREFIX wd: - - SELECT ?retentionTime ?molecularMass ?canopusClass - WHERE { - ?rawMaterial ns1:has_wd_id wd:Q8008828 . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?lcmsAnalysisNeg . - ?lcmsAnalysisNeg a ns1:LCMSAnalysisNeg . - ?lcmsAnalysisNeg ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_retention_time ?retentionTime . - ?feature ns1:has_parent_mass ?molecularMass . - ?feature ns1:has_canopus_annotation ?canopusAnnotation . - ?canopusAnnotation ns1:has_canopus_npc_class ?canopusClass . - }",High -15,What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts is as follows:\n\n- Flavonoids: 600\n- Octadecanoids: 105\n- Triterpenoids: 50\n- Isoflavonoids: 147\n- Sesquiterpenoids: 27\n- Lignans: 19\n- Small peptides: 19\n- Monoterpenoids: 16\n- Coumarins: 180\n- Tryptophan alkaloids: 6\n- Stilbenoids: 20\n- Nucleosides: 8\n- Glycerophospholipids: 2\n- Polycyclic aromatic polyketides: 11\n- Aromatic polyketides: 13\n- Xanthones: 9\n- Phenylpropanoids (C6-C3): 11\n- Naphthalenes: 5\n- Anthranilic acid alkaloids: 3\n- Diarylheptanoids: 2\n- Diterpenoids: 18\n- Steroids: 51\n- Ornithine alkaloids: 2\n- Aminosugars and aminoglycosides: 5\n- Meroterpenoids: 27\n- Diazotetronic acids and derivatives: 3\n- Glycerolipids: 62\n- Fatty Acids and Conjugates: 44\n- Sphingolipids: 3\n- Oligopeptides: 17\n- Phenolic acids (C6-C1): 15\n- Pseudoalkaloids: 3\n- 尾-lactams: 1\n- Fatty amides: 17\n- Tyrosine alkaloids: 1\n- Phloroglucinols: 2\n- Unknown: 198\n- Chromanes: 7\n- Linear polyketides: 9\n- Nicotinic acid alkaloids: 2\n- Spingolipids: 24\n- Fatty esters: 3\n- Pseudoalkaloids (transamidation): 1\n- Amino acid glycosides: 6\n- Histidine alkaloids: 1\n- Eicosanoids: 15\n- Fatty acyl glycosides: 2\n- Fatty acyls: 6\n- Polyethers: 2\n- Macrolides: 1\n- Polyols: 2\n- Cyclic polyketides: 3\n- Apocarotenoids: 3\n\nHere is the dictionary containing the question, generated SPARQL query, and file path to the query result:\n\n```json\n{\n \""question\"": \""What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\nPREFIX wd: \\n\\nSELECT ?superclass (COUNT(?superclass) AS ?count)\\nWHERE {\\n ?rawMaterial ns1:has_wd_id wd:Q10770714 .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis ns1:has_lcms_feature_list ?feature_list .\\n ?feature_list ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_canopus_annotation ?annotation .\\n ?annotation ns1:has_canopus_npc_superclass ?superclass .\\n}\\nGROUP BY ?superclass\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/228ff50f729b45f29855d7d12d4c18c9/tmp23kaqct7.csv\""\n}\n```"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: -PREFIX ns2: -PREFIX wd: +13," ""Which extracts have features (pos ionization mode) annotated as the class, aspidosperma-type alkaloids, by CANOPUS with a probability score above 0.5, ordered by the decreasing count of features as aspidosperma-type alkaloids? Group by extract.""","PREFIX ns1: -SELECT ?superclass (COUNT(?superclass) AS ?count) +SELECT ?labExtract (COUNT(?feature) AS ?featureCount) WHERE { - ?rawMaterial ns1:has_wd_id wd:Q10770714 . - ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . + ?analysis a ns1:LCMSAnalysisPos . ?analysis ns1:has_lcms_feature_list ?feature_list . ?feature_list ns1:has_lcms_feature ?feature . ?feature ns1:has_canopus_annotation ?annotation . - ?annotation ns1:has_canopus_npc_superclass ?superclass . + ?annotation ns1:has_canopus_npc_class . + ?annotation ns1:has_canopus_npc_class_prob ?probability . + FILTER(?probability > 0.5) } -GROUP BY ?superclass",Medium -16,What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4??,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4??"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here is the information:\n\n- **Question**: What are the retention times and adduct types of LCMS features from Desmodium heterophyllum annotated by SIRIUS with a cosmic score greater than 0.4?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?retentionTime ?adduct\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_retention_time ?retentionTime .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_cosmic_score ?cosmicScore .\n ?siriusAnnotation ns1:has_adduct ?adduct .\n FILTER(?cosmicScore > 0.4)\n }\n ```\n- **File Path**: The results are stored in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/25ad11d8258b4723b0a4653d1b0de5e7/tmpvmkstwx8.csv`.\n\nPlease let me know if you need further assistance or analysis of the results!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +GROUP BY ?labExtract +ORDER BY DESC(?featureCount)",High +14," ""Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations.""","PREFIX ns1: PREFIX ns2: - SELECT ?retentionTime ?adduct + SELECT ?Annotation WHERE { - ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_retention_time ?retentionTime . - ?feature ns1:has_sirius_annotation ?siriusAnnotation . - ?siriusAnnotation ns1:has_cosmic_score ?cosmicScore . - ?siriusAnnotation ns1:has_adduct ?adduct . - FILTER(?cosmicScore > 0.4) - }",High -17,Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 碌g/mL.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 碌g/mL."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 碌g/mL."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Leishmania donovani, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL367, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The top 5 tissues used to produce lab extracts containing compounds with inhibition activity greater than 70% against the Leishmania donovani target at 10 碌g/mL are:\n\n1. Green Tissue (24 extracts)\n2. Root Tissue (17 extracts)\n3. Multiple Tissues (9 extracts)\n4. Woody Tissue (7 extracts)\n\nThe SPARQL query used to retrieve this information is as follows:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?tissue (COUNT(?labExtract) AS ?count)\nWHERE {\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ;\n ns2:target_id .\n FILTER(?inhibitionPercentage > 70)\n ?rawMaterial ns1:has_lab_process ?labExtract ;\n ns2:has_tissue ?tissue .\n}\nGROUP BY ?tissue\nORDER BY DESC(?count)\nLIMIT 5\n```\n\nThe data is stored in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/9aa4b47f0e764929989be2184095b3b0/tmp6u2rkep7.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: -PREFIX ns2: - -SELECT ?tissue (COUNT(?labExtract) AS ?count) -WHERE { - ?labExtract ns2:has_bioassay_results ?bioAssayResult . - ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ; - ns2:target_id . - FILTER(?inhibitionPercentage > 70) - ?rawMaterial ns1:has_lab_process ?labExtract ; - ns2:has_tissue ?tissue . -} -GROUP BY ?tissue -ORDER BY DESC(?count) -LIMIT 5",High -18,"Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000).","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000)."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000)."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The top-10 lab extracts with the most unique features detected, with a minimum feature area intensity of 500,000, are as follows:\n\n1. **Lab Extract:** [SC_AP_Wi_DCM](https://enpkg.commons-lab.org/kg/SC_AP_Wi_DCM) - **Unique Features:** 3437\n2. **Lab Extract:** [VGF140_F11](https://enpkg.commons-lab.org/kg/VGF140_F11) - **Unique Features:** 2035\n3. **Lab Extract:** [VGF153_D04](https://enpkg.commons-lab.org/kg/VGF153_D04) - **Unique Features:** 1952\n4. **Lab Extract:** [VGF154_G05](https://enpkg.commons-lab.org/kg/VGF154_G05) - **Unique Features:** 1813\n5. **Lab Extract:** [VGF153_F06](https://enpkg.commons-lab.org/kg/VGF153_F06) - **Unique Features:** 1786\n6. **Lab Extract:** [VGF154_C03](https://enpkg.commons-lab.org/kg/VGF154_C03) - **Unique Features:** 1640\n7. **Lab Extract:** [VGF153_G10](https://enpkg.commons-lab.org/kg/VGF153_G10) - **Unique Features:** 1617\n8. **Lab Extract:** [VGF154_A09](https://enpkg.commons-lab.org/kg/VGF154_A09) - **Unique Features:** 1615\n9. **Lab Extract:** [VGF154_B09](https://enpkg.commons-lab.org/kg/VGF154_B09) - **Unique Features:** 1601\n10. **Lab Extract:** [VGF142_D11](https://enpkg.commons-lab.org/kg/VGF142_D11) - **Unique Features:** 1543\n\nHere is the SPARQL query used to retrieve this information:\n\n```sparql\nPREFIX ns1: \nSELECT ?labExtract (COUNT(DISTINCT ?feature) AS ?uniqueFeatures)\nWHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_feature_area ?featureArea .\n FILTER(?featureArea >= 500000)\n}\nGROUP BY ?labExtract\nORDER BY DESC(?uniqueFeatures)\nLIMIT 10\n```\n\nThe data is stored in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e85c6df097e3431884ddbfcdc34f620d/tmp1u9qq1p9.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: -SELECT ?labExtract (COUNT(DISTINCT ?feature) AS ?uniqueFeatures) -WHERE { - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_feature_area ?featureArea . - FILTER(?featureArea >= 500000) -} -GROUP BY ?labExtract -ORDER BY DESC(?uniqueFeatures) -LIMIT 10",Low -19,"For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS.","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been executed to retrieve the LC-MS features observed in the extracts of Tabernaemontana coffeoides that are annotated with NPCPathways using CANOPUS. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?feature\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_pathway ?npcPathway .\n }\n ```\n\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/0a0e72082aef4788a45ec734c4f9b49c/tmpqlgm7k3g.csv`.\n\nPlease check the file for the detailed results of the query."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The LC-MS features observed in the extracts of Tabernaemontana coffeoides that are annotated with NPCPathways using CANOPUS have been successfully retrieved. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_isdb_annotation ?Annotation . + ?Annotation ns1:has_consistency_score ?consistencyScore . + ?Annotation ns1:has_taxo_score ?taxoScore . + FILTER(?consistencyScore > 0.7 && ?taxoScore > 0.5) + }",Medium +15,"""What are the taxons, lab process and label (if one exists) for each sample? Sort by sample and then lab process""","PREFIX ns1: + SELECT ?sample ?taxon ?labProcess ?label + WHERE { + ?sample ns1:has_wd_id ?taxon . + ?sample ns1:has_lab_process ?labProcess . + OPTIONAL { ?sample rdfs:label ?label . } + } + ORDER BY ?sample ?labProcess",Low +16,"""What are the mass spectrometry features detected only in the plant Rumex nepalensis?""","PREFIX ns1: PREFIX ns2: + PREFIX wd: SELECT ?feature WHERE { - ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_wd_id wd:Q11041204 . ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_canopus_annotation ?annotation . - ?annotation ns1:has_canopus_npc_pathway ?npcPathway . - }",Medium -20,Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata;\nrotenoids, https://enpkg.commons-lab.org/kg/npc_Rotenoids, NPCClass;\nTrypanosoma cruzi, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL368, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been executed successfully. Here is the information retrieved:\n\n### Question\nRetrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra.\n\n### SPARQL Query\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?wd_id ?usi\nWHERE {\n ?rawMaterial ns1:has_wd_id ;\n ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation ;\n ns1:has_usi ?usi .\n ?annotation ns1:has_canopus_npc_class .\n ?labExtract ns2:has_bioassay_results ?assayResult .\n ?assayResult ns2:target_id .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n }\n```\n\n### File Path\nThe results have been saved to a temporary file, which can be accessed at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/be66080199fb4930ae3c599b8c11507d/tmpn40oy4b_.csv`\n\nPlease let me know if you need further assistance or analysis on this data!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The analysis of the file has been completed. The data contains Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. It also includes the corresponding USIs to the MS/MS spectra.\n\nHere are the first few entries:\n- **Wikidata ID**: Q104399962\n- **USI**: mzspec:MSV000087728:VGF155_D05_features_ms2_ne...\n\nNo visualization was requested or generated for this analysis. The data can be downloaded for further examination.\n\nIf you need any additional insights or visualizations, please let me know!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: -PREFIX ns2: - -SELECT ?wd_id ?usi -WHERE { - ?rawMaterial ns1:has_wd_id ; - ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_canopus_annotation ?annotation ; - ns1:has_usi ?usi . - ?annotation ns1:has_canopus_npc_class . - ?labExtract ns2:has_bioassay_results ?assayResult . - ?assayResult ns2:target_id . - ?chemicalEntity ns1:has_wd_id ?wd_id . - ?feature ns1:has_sirius_annotation ?siriusAnnotation . - ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D . - ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity . - }",High -21,List the lab extracts that have inhibition percentages above 50% bioassay results at 2碌g/mL against Trypanosoma brucei rhodesiense .,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the lab extracts that have inhibition percentages above 50% bioassay results at 2碌g/mL against Trypanosoma brucei rhodesiense ."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the lab extracts that have inhibition percentages above 50% bioassay results at 2碌g/mL against Trypanosoma brucei rhodesiense."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Trypanosoma brucei rhodesiense, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL612348, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: List the lab extracts that have inhibition percentages above 50% bioassay results at 2碌g/mL against Trypanosoma brucei rhodesiense.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?labExtract\n WHERE {\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:target_id .\n {\n ?bioAssayResult a ns2:Tbrucei2ugml .\n }\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/fc41480ada32471b948feb8e1d6babcf/tmp4p9xu66f.csv`\n\nI will now analyze the SPARQL output to provide the final answer.\nThe lab extracts that have bioassay results at 2碌g/mL against Trypanosoma brucei rhodesiense are listed in the file located at the following path:\n\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/fc41480ada32471b948feb8e1d6babcf/tmp4p9xu66f.csv`\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""List the lab extracts that have inhibition percentages above 50% bioassay results at 2碌g/mL against Trypanosoma brucei rhodesiense\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?labExtract\\nWHERE {\\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\\n ?bioAssayResult ns2:target_id .\\n {\\n ?bioAssayResult a ns2:Tbrucei2ugml .\\n } ?bioAssayResult ns2:inhibition_percentage ?inhibition .\n FILTER(?inhibition > 50)\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/fc41480ada32471b948feb8e1d6babcf/tmp4p9xu66f.csv\""\n}\n```\n\nPlease review the file for the detailed list of lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: + ?analysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + }",Low +17," ""How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the plannar structure)?""","PREFIX ns1: - SELECT ?labExtract + SELECT (COUNT(DISTINCT ?wd_id) AS ?distinct_wd_ids) WHERE { - ?labExtract ns2:has_bioassay_results ?bioAssayResult . - ?bioAssayResult ns2:target_id . - { - ?bioAssayResult a ns2:Tbrucei2ugml . - } + ?annotation ns1:has_InChIkey2D ?InChIkey2D . + ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey . + ?InChIkey ns1:has_wd_id ?wd_id . }",Medium -22,"What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value.","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the LCMS features that have feature areas greater than 1,000,000 in positive ionization mode? Sort by decreasing feature area value.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?feature\n WHERE {\n ?analysis a ns1:LCMSAnalysisPos .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_feature_area ?area .\n FILTER(?area > 1000000)\n } ORDER BY DESC(?area)\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/61f189ee29f1402eae7ec344e7ac1ef7/tmpv676p86i.csv\n\nPlease review the file for the detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The LCMS features with feature areas greater than 1,000,000 in positive ionization mode have been filtered and saved. You can download the detailed results from the following file:\n\n- **Filtered Features File**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/61f189ee29f1402eae7ec344e7ac1ef7/filtered_features.csv\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +18," ""List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes."" ""","PREFIX ns1: SELECT ?feature WHERE { - ?analysis a ns1:LCMSAnalysisPos . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_feature_area ?area . - FILTER(?area > 1000000) - } ORDER BY DESC(?area)",Low -23,"Retrieve the lab extracts that have more than 2,000 features detected. ","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the lab extracts that have more than 2,000 features detected. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the lab extracts that have more than 2,000 features detected."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Lab Extract, LCMS Feature). The question asks for lab extracts that have a certain number of features detected, which is information that can be retrieved from the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The query to retrieve lab extracts with more than 2,000 features detected has been executed. Here is the information:\n\n- **Question**: Retrieve the lab extracts that have more than 2,000 features detected.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?labExtract\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis.\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n {\n SELECT ?labExtract (COUNT(?feature) AS ?featureCount)\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis. \n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n }\n GROUP BY ?labExtract\n HAVING (?featureCount > 2000)\n }\n }\n ```\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/1db966f1a9d44c269baae69dc24b9dbe/tmpgxqshpaa.csv`.\n\nPlease refer to the file for the detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The file containing the results of the SPARQL query has been processed. nIf you have any other specific criteria or information you would like to extract from the data, please let me know. Otherwise, you can download the data for further analysis.\n\nThe full path of the file generated is: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/1db966f1a9d44c269baae69dc24b9dbe/tmpgxqshpaa.csv`.\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?feature ns1:has_canopus_annotation ?annotation . + ?feature ns1:has_retention_time ?retention_time . + ?annotation ns1:has_canopus_npc_class ?chemicalClass . + FILTER(?retentionTime >= 5 && ?retentionTime <= 7) }",Medium +19," ""Retrieve the lab extracts that have more than 2,000 features detected.""","PREFIX ns1: SELECT ?labExtract WHERE { @@ -330,49 +273,49 @@ WHERE { HAVING (?featureCount > 2000) } }",Low -24,Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Raw Material, Lab Extract, BioAssayResult, Chemical Entity). The question asks for information about plant extracts containing compounds that have demonstrated a certain level of inhibition against a specific target and have a certain mass, which can be retrieved from the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Trypanosoma cruzi, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL368, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The query has been processed successfully. Here is the information:\n\n- **Question**: Which plant has extracts containing compounds that demonstrated inhibition rates above 50% against Trypanosoma cruzi and are above 800 Da in mass? Provide the lab extracts.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?plant ?labExtract\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_parent_mass ?mass .\n FILTER(?mass > 800)\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibition .\n FILTER(?inhibition > 50)\n ?bioAssayResult ns2:target_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?rawMaterial ns1:submitted_taxon ?plant .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/cbb95402a0b148239141ff5dfd609728/tmpixjks0gp.csv`\n\nPlease refer to the file for detailed results on the plants and their corresponding lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The analysis of the file indicates that there are no plant extracts meeting the specified criteria of having compounds with inhibition rates above 50% against Trypanosoma cruzi and a mass above 800 Da. If you have any other questions or need further analysis, please let me know. \n\nNo visualization is available, but the data can be downloaded for further inspection. \n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - - SELECT ?plant ?labExtract - WHERE { - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_parent_mass ?mass . - FILTER(?mass > 800) - ?labExtract ns2:has_bioassay_results ?bioAssayResult . - ?bioAssayResult ns2:inhibition_percentage ?inhibition . - FILTER(?inhibition > 50) - ?bioAssayResult ns2:target_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?rawMaterial ns1:submitted_taxon ?plant . - }",High -25,How unique InChIKey2D are among the structural annotations?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How unique InChIKey2D are among the structural annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: How unique InChIKey2D are among the structural annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (InChIKey2D, Annotation). The question is asking for unique InChIKey2D among the structural annotations, which is a valid query for the knowledge graph."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The number of unique InChIKey2D among the structural annotations is 106,647.\n\nHere is the information related to the SPARQL query:\n\n- **Question**: How unique InChIKey2D are among the structural annotations?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(DISTINCT ?InChIkey2D) AS ?uniqueInChIkey2DCount)\n WHERE {\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/73fb3b1ea55e4c8d93e92080edfdd449/tmphyuvm3dr.csv`\n\nThis result indicates the count of unique InChIKey2D identifiers found among the structural annotations in the knowledge graph."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - - SELECT (COUNT(DISTINCT ?InChIkey2D) AS ?uniqueInChIkey2DCount) - WHERE { - ?annotation ns1:has_InChIkey2D ?InChIkey2D . - }",Low -26,Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Can you provide the SMILES notation and the Wikidata IDs for the compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides by looking at SIRIUS annotations?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Lovoa trichilioides, http://www.wikidata.org/entity/Q8008828, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The compound with the highest precursor ion mass in the MS2 spectra from extracts of Lovoa trichilioides, as annotated by SIRIUS, has the following details:\n\n- **SMILES Notation**: `CC(C)(C)C1=C(C=CC(=C1)C(C)(CC(=O)OCCOC(=O)CC(C)(C2=CC(=C(C=C2)O)C(C)(C)C)C3=CC(=C(C=C3)O)C(C)(C)C)C4=CC(=C(C=C4)O)C(C)(C)C)O`\n- **Wikidata ID**: [Q27254797](http://www.wikidata.org/entity/Q27254797)\n\nHere is the SPARQL query used to obtain this information:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?smiles ?wd_id\nWHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns1:has_smiles ?smiles ;\n ns1:has_wd_id ?wd_id .\n ?feature ns1:has_parent_mass ?mass .\n}\nORDER BY DESC(?mass)\nLIMIT 1\n```\n\nThe data was retrieved from the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/c05df7beae71402fa925205f656dba83/tmpj8dw4tu8.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +20,"""What is the distribution of chemical superclasses in the LCMS features annotated by CANOPUS identified from Desmodium heterophyllum extracts?""","PREFIX ns1: PREFIX ns2: +PREFIX wd: -SELECT ?smiles ?wd_id +SELECT ?superclass (COUNT(?superclass) AS ?count) WHERE { - ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_wd_id wd:Q10770714 . ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . ?analysis ns1:has_lcms_feature_list ?feature_list . ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_sirius_annotation ?annotation . - ?annotation ns1:has_InChIkey2D ?InChIkey2D . - ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity . - ?chemicalEntity ns1:has_smiles ?smiles ; - ns1:has_wd_id ?wd_id . - ?feature ns1:has_parent_mass ?mass . + ?feature ns1:has_canopus_annotation ?annotation . + ?annotation ns1:has_canopus_npc_superclass ?superclass . } -ORDER BY DESC(?mass) -LIMIT 1",High -27,What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""alkaloids, NPCClass: https://enpkg.commons-lab.org/kg/npc_Steroidal_alkaloids, NPCClass;\nTabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The LCMS feature with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts is identified by the feature IRI [https://enpkg.commons-lab.org/kg/lcms_feature_mzspec:MSV000087728:VGF152_A02_features_ms2_pos.mgf:scan:245](https://enpkg.commons-lab.org/kg/lcms_feature_mzspec:MSV000087728:VGF152_A02_features_ms2_pos.mgf:scan:245) with an area of 18,114,637.02276565.\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n- **Question**: What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?\n- **Generated SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?feature ?featureArea\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_feature_area ?featureArea .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class .\n }\n ORDER BY DESC(?featureArea)\n LIMIT 1\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/84a24128512b453598395d8ed7f429dc/tmp8qjwsoaz.csv`"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +GROUP BY ?superclass",Medium +21," ""Retrieve the top-10 lab extracts with the most unique features detected (minimum feature area intensity of 500,000.""","PREFIX ns1: +SELECT ?labExtract (COUNT(DISTINCT ?feature) AS ?uniqueFeatures) +WHERE { + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_feature_area ?featureArea . + FILTER(?featureArea >= 500000) +} +GROUP BY ?labExtract +ORDER BY DESC(?uniqueFeatures) +LIMIT 10",Low +22,"""List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9.""","PREFIX ns1: + +SELECT ?labExtract (COUNT(DISTINCT ?compound) AS ?uniqueCompounds) +WHERE { + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_canopus_annotation ?annotation . + ?annotation ns1:has_canopus_npc_class ?compound . + ?annotation ns1:has_canopus_npc_class_prob ?probability . + FILTER(?probability > 0.9) +} +GROUP BY ?labExtract +ORDER BY DESC(?uniqueCompounds) +LIMIT 3",High +23," ""What are the LCMS features with the highest area annotated as alkaloids by CANOPUS in Tabernaemontana coffeoides extracts?""","PREFIX ns1: PREFIX ns2: SELECT ?feature ?featureArea @@ -388,101 +331,47 @@ LIMIT 1",High } ORDER BY DESC(?featureArea) LIMIT 1",Low -28,List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question:** List the LC-MS features that have a chemical class annotation by CANOPUS and have a retention time between 5-7 minutes.\n- **Generated SPARQL Query:**\n ```sparql\n PREFIX ns1: \n\n SELECT ?feature\n WHERE {\n ?feature ns1:has_canopus_annotation ?annotation .\n ?feature ns1:has_retention_time ?retention_time .\n ?annotation ns1:has_canopus_npc_class ?chemicalClass .\n FILTER(?retentionTime >= 5 && ?retentionTime <= 7) }\n ```\n- **File Path:** /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aadd02d3086647dd9408cbc9098e5862/tmpx_kt8dmi.csv\n\nYou can now review the results in the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - - SELECT ?feature - WHERE { - ?feature ns1:has_canopus_annotation ?annotation . - ?feature ns1:has_retention_time ?retention_time . - ?annotation ns1:has_canopus_npc_class ?chemicalClass . - FILTER(?retentionTime >= 5 && ?retentionTime <= 7) }",Medium -29,What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Hibiscus syriacus, http://www.wikidata.org/entity/Q157756, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus are as follows:\n\n1. InChIkey2D: [KEMQGTRYUADPNZ](https://enpkg.commons-lab.org/kg/KEMQGTRYUADPNZ) - Frequency: 2\n2. InChIkey2D: [DTOSIQBPPRVQHS](https://enpkg.commons-lab.org/kg/DTOSIQBPPRVQHS) - Frequency: 2\n3. InChIkey2D: [OUMMUORTBYSLFO](https://enpkg.commons-lab.org/kg/OUMMUORTBYSLFO) - Frequency: 2\n\nThese are the most frequently observed annotations, each appearing twice in the dataset. Here is the SPARQL query that was generated:\n\n```sparql\n PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?InChIkey2D (COUNT(?InChIkey2D) AS ?frequency)\\nWHERE {\\n ?rawMaterial ns1:has_wd_id .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?analysis .\\n ?analysis ns1:has_lcms_feature_list ?feature_list .\\n ?feature_list ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_sirius_annotation ?annotation .\\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\\n}\\nGROUP BY ?InChIkey2D\\nORDER BY DESC(?frequency)'"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: -PREFIX ns2: - -SELECT ?InChIkey2D (COUNT(?InChIkey2D) AS ?frequency) -WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_sirius_annotation ?annotation . - ?annotation ns1:has_InChIkey2D ?InChIkey2D . -} -GROUP BY ?InChIkey2D -ORDER BY DESC(?frequency)",Medium -30,What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides can be found in the provided file. Here is the information related to your query:\n\n- **Question**: What are the LC-MS features that have GNPS library analogs annotation in Tabernaemontana coffeoides? Provide the features.\n- **Generated SPARQL Query**: \n ```sparql\n PREFIX ns1: \n\n SELECT ?feature\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:fast_search_gnpslibrary_analog ?analog .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/c00a7dfa6ebf4a978b7a894760588603/tmp94vi0nsp.csv`\n\nPlease refer to the file for the detailed list of features."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +24," ""Count the number of LCMS features in negative ionization mode""","PREFIX ns1: - SELECT ?feature + SELECT (COUNT(?feature) AS ?featureCount) WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . + ?analysis a ns1:LCMSAnalysisNeg . ?analysis ns1:has_lcms_feature_list ?featureList . ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:fast_search_gnpslibrary_analog ?analog . - }",High -31,How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the plannar structure)?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the plannar structure)?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the planar structure)?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Wikidata IDs, InChIkey2D) and asks for a count of distinct Wikidata IDs that have the same metabolite annotation, considering only the planar structure. This information can be retrieved from the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The query has been executed successfully. There are 138,146 distinct Wikidata identifiers (WD IDs) that share the same metabolite annotation based on their planar structure (InChIkey2D).\n\nHere is the information related to the query:\n\n- **Question**: How many distinct Wikidata identifiers (WD IDs) have the same metabolite annotation (considering only the planar structure)?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT (COUNT(DISTINCT ?wd_id) AS ?distinct_wd_ids)\n WHERE {\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey .\n ?InChIkey ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/49c4b98b94034c86ace8c37139fa6a29/tmpnnlg58pc.csv`\n\nThis result indicates the number of unique Wikidata IDs that are associated with the same planar structure annotation in the ENPKG database."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - - SELECT (COUNT(DISTINCT ?wd_id) AS ?distinct_wd_ids) - WHERE { - ?annotation ns1:has_InChIkey2D ?InChIkey2D . - ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey . - ?InChIkey ns1:has_wd_id ?wd_id . - }",Medium -32,Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid. It is related to the ENPKG nodes/entities (Raw Material, LCMS Analysis, SpectralPair). The plant name \""Desmodium heterophyllum\"" is present in the database. The question asks for mass differences and cosine similarity scores, which are properties of the SpectralPair entity in the ENPKG."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum have been retrieved. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n\n SELECT ?mass_difference ?cosine\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?spectralPair ns1:has_member ?feature .\n ?spectralPair ns1:has_mass_difference ?mass_difference .\n ?spectralPair ns1:has_cosine ?cosine .\n }\n ```\n\n- **File Path**: The results are stored in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/03572d09329f4855ab27963f8832666f/tmpsuxk8web.csv`.\n\nPlease refer to the file for detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum have been successfully interpreted. Here are some sample entries from the data:\n\n- Mass Difference: 218.2978, Cosine Similarity: 0.999612\n- Mass Difference: 46.0057, Cosine Similarity: 0.999888\n- Mass Difference: 140.0989, Cosine Similarity: 0.985793\n- Mass Difference: 160.1252, Cosine Similarity: 0.993816\n- Mass Difference: 162.1407, Cosine Similarity: 0.984198\n\nNo visualization is available, but the data can be downloaded from the provided file path. If you need a visualization, please let me know, and I can generate a plotly graph for you.\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - - SELECT ?mass_difference ?cosine - WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?lcmsAnalysis . - ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?spectralPair ns1:has_member ?feature . - ?spectralPair ns1:has_mass_difference ?mass_difference . - ?spectralPair ns1:has_cosine ?cosine . - }",High -33,What are SIRIUS structural annotations for LCMS features with cosmic scores above 0.3 associated with Tabernaemontana coffeoides? Report their ZODIAC scores.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are SIRIUS structural annotations for LCMS features with cosmic scores above 0.3 associated with Tabernaemontana coffeoides? Report their ZODIAC scores."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the cosmic scores and zodiac scores associated with SIRIUS structural annotations for LCMS features from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The zodiac scores associated with SIRIUS structural annotations for LCMS features from Tabernaemontana coffeoides have been retrieved. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?cosmic_score ?zodiac_score\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_cosmic_score ?cosmic_score .\n FILTER (?cosmic_score > 0.3) \n ?siriusAnnotation ns1:has_zodiac_score ?zodiac_score .\n }\n ```\n\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5137b0a478de42c5b07851d5252b3e4c/tmpn4ce1k2v.csv`\n\nPlease refer to the file for detailed scores."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - - SELECT ?cosmic_score ?zodiac_score - WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?feature_list . - ?feature_list ns1:has_lcms_feature ?feature . - ?feature ns1:has_sirius_annotation ?siriusAnnotation . - ?siriusAnnotation ns1:has_cosmic_score ?cosmic_score . - FILTER (?cosmic_score > 0.3) - ?siriusAnnotation ns1:has_zodiac_score ?zodiac_score . - }",High -34,Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully executed to find the ISDB annotations with consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides. Here is the information:\n\n- **Question**: Which ISDB annotations have consistency scores above 0.7 and taxonomic scores above 0.5 for LCMS features from Tabernaemontana coffeoides? Provide annotations.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?Annotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_isdb_annotation ?Annotation .\n ?Annotation ns1:has_consistency_score ?consistencyScore .\n ?Annotation ns1:has_taxo_score ?taxoScore .\n FILTER(?consistencyScore > 0.7 && ?taxoScore > 0.5)\n }\n ```\n- **File Path**: The results are stored in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/002a9f76c921447fbfe4490492614cba/tmpgkgukng8.csv`.\n\nPlease refer to the file for the detailed annotations."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + }",Low +25,"""What are the chemical structure ISDB annotations for Lovoa trichilioides ?""","PREFIX ns1: PREFIX ns2: SELECT ?Annotation WHERE { - ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?analysis . ?analysis ns1:has_lcms_feature_list ?feature_list . ?feature_list ns1:has_lcms_feature ?feature . ?feature ns1:has_isdb_annotation ?Annotation . - ?Annotation ns1:has_consistency_score ?consistencyScore . - ?Annotation ns1:has_taxo_score ?taxoScore . - FILTER(?consistencyScore > 0.7 && ?taxoScore > 0.5) }",Medium -35,List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The tissue type used to produce the lab extracts of Tabernaemontana coffeoides is \""green tissue.\"" The lab extracts associated with this tissue type are:\n\n1. Lab Extract: VGF152_B02\n2. Lab Extract: VGF152_A02\n3. Lab Extract: VGF151_G11\n4. Lab Extract: VGF151_H11\n\nHere is the SPARQL query used to retrieve this information:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?tissue ?labExtract\nWHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?rawMaterial ns2:has_tissue ?tissue .\n}\n```\n\nThe data was retrieved from the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/79cf06dcfb4c4635bf92d845c42ea938/tmpo0nqoke3.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +26," ""Retrieve the Wikidata IDs of chemical entities from Desmodium heterophyllum that are annotated as rotenoids by CANOPUS and have ChEMBL assay results showing activity against Trypanosoma cruzi. Provide also the USIs to the corresponding MS/MS spectra.""","PREFIX ns1: PREFIX ns2: -SELECT ?tissue ?labExtract +SELECT ?wd_id ?usi WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?rawMaterial ns2:has_tissue ?tissue . -}",Low -36,Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Terpenoids, https://enpkg.commons-lab.org/kg/npc_Terpenoids, NPCPathway;\nTabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides have been retrieved. Here is the information:\n\n- **SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?retentionTime ?parentMass\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_pathway .\n ?feature ns1:has_retention_time ?retentionTime .\n ?feature ns1:has_parent_mass ?parentMass .\n }\n ```\n\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/610f86c362554edfa3e22989fd52acdf/tmpgt4cvneq.csv`.\n\nPlease check the file for detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides have been visualized. You can download the visualization file from the following path:\n\nVisualization filepath: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/610f86c362554edfa3e22989fd52acdf/tmpgt4cvneq.json`\n\nPlease use this file to view the detailed results. \n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?rawMaterial ns1:has_wd_id ; + ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_canopus_annotation ?annotation ; + ns1:has_usi ?usi . + ?annotation ns1:has_canopus_npc_class . + ?labExtract ns2:has_bioassay_results ?assayResult . + ?assayResult ns2:target_id . + ?chemicalEntity ns1:has_wd_id ?wd_id . + ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D . + ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity . + }",High +27," ""Retrieve the retention times and parent masses of LCMS features annotated as Terpenoids by CANOPUS in Tabernaemontana coffeoides.""","PREFIX ns1: PREFIX ns2: SELECT ?retentionTime ?parentMass @@ -497,58 +386,122 @@ WHERE { ?feature ns1:has_retention_time ?retentionTime . ?feature ns1:has_parent_mass ?parentMass . }",Medium -37,Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: Retrieve the most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n PREFIX wd: \n\n SELECT ?spec2vecPeak ?spec2vecLoss (COUNT(?spec2vecPeak) AS ?peakFrequency) (COUNT(?spec2vecLoss) AS ?lossFrequency)\n WHERE {\n ?rawMaterial ns1:has_wd_id wd:Q15376858 .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\n ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vecPeak .\n ?spec2vecDoc ns1:has_spec2vec_loss ?spec2vecLoss .\n } GROUP BY ?spec2vecPeak ?spec2vecLoss \n ORDER BY DESC(?peakFrequency) DESC(?lossFrequency)\n LIMIT 1\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/2e7991542808441db6e152ef5e034607/tmpdwgxk7xv.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The most frequent Spec2Vec peaks and losses characterizing the MS2 spectra from the lab extracts of Tabernaemontana coffeoides have been successfully retrieved "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +28,"""Which compounds from Desmodium heterophyllum extracts have annotations from both ISDB and SIRIUS, and what are their molecular masses?""","PREFIX ns1: +PREFIX ns2: +PREFIX wd: + +SELECT ?compound ?mass +WHERE { + ?rawMaterial ns1:has_wd_id wd:Q10770714 . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_isdb_annotation ?isdbAnnotation . + ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?feature ns1:has_parent_mass ?mass . + ?isdbAnnotation ns1:has_InChIkey2D ?compound . + ?siriusAnnotation ns1:has_InChIkey2D ?compound . +}",High +29," ""What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?""","PREFIX ns1: PREFIX ns2: - PREFIX wd: - SELECT ?spec2vecPeak ?spec2vecLoss (COUNT(?spec2vecPeak) AS ?peakFrequency) (COUNT(?spec2vecLoss) AS ?lossFrequency) + SELECT ?adduct (COUNT(?adduct) AS ?frequency) WHERE { - ?rawMaterial ns1:has_wd_id wd:Q15376858 . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?featureList . + ?labExtract ns1:has_LCMS ?lcmsAnalysis . + ?lcmsAnalysis a ns1:LCMSAnalysisPos . + ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_spec2vec_doc ?spec2vecDoc . - ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vecPeak . - ?spec2vecDoc ns1:has_spec2vec_loss ?spec2vecLoss . - } GROUP BY ?spec2vecPeak ?spec2vecLoss - ORDER BY DESC(?peakFrequency) DESC(?lossFrequency) - LIMIT 1",Medium -38,What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been generated and executed. Here are the details:\n\n- **Question**: What are the ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?chembl_target\n WHERE {\n ?sirius_annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey .\n ?InChIkey ns2:has_chembl_id ?chembl_chemical .\n ?chembl_chemical ns2:has_chembl_activity ?chembl_assay_results .\n ?chembl_assay_results ns2:target_id ?chembl_target .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/f016f234d53147b3a0454bd652bc8f6b/tmppen79nmc.csv\n\nI will now analyze the SPARQL output to generate the final answer.\nThe final answer based on the SPARQL output is as follows:\n\n- **ChEMBL Targets (ChEMBLTarget)**: The ChEMBL targets linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations are listed in the file located at the following path:\n - **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/f016f234d53147b3a0454bd652bc8f6b/tmppen79nmc.csv\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""What are the ChEMBL targets (ChEMBLTarget) linked to ChEMBL assay results (ChEMBLAssayResults) for chemicals (ChEMBLChemical) sharing InChIKeys (InChIkey) with SIRIUS structural annotations (SiriusStructureAnnotation)?\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?chembl_target\\nWHERE {\\n ?sirius_annotation ns1:has_InChIkey2D ?InChIkey2D .\\n ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey .\\n ?InChIkey ns2:has_chembl_id ?chembl_chemical .\\n ?chembl_chemical ns2:has_chembl_activity ?chembl_assay_results .\\n ?chembl_assay_results ns2:target_id ?chembl_target .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/f016f234d53147b3a0454bd652bc8f6b/tmppen79nmc.csv\""\n}\n```\n\nPlease review the file for the detailed list of ChEMBL targets."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?feature ns1:has_sirius_annotation ?annotation . + ?annotation ns1:has_adduct ?adduct . + } + GROUP BY ?adduct + ORDER BY DESC(?frequency)",Medium +30," ""What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?"" + +","PREFIX ns1: PREFIX ns2: - SELECT ?chembl_target + SELECT ?wd_id + WHERE { + ?chemicalEntity ns2:has_chembl_id ?chemblChemical . + ?chemblChemical ns2:has_chembl_activity ?assayResults . + ?assayResults ns2:target_id . + ?chemicalEntity ns1:has_wd_id ?wd_id . + }",Medium +31," ""How many features (pos ionization and neg ionization modes) have the same SIRIUS/CSI:FingerID and ISDB annotation by comparing the InCHIKey2D of the annotations?""","PREFIX ns1: + + SELECT (COUNT(?feature) AS ?featureCount) + WHERE { + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?feature ns1:has_isdb_annotation ?isdbAnnotation . + ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D . + ?isdbAnnotation ns1:has_InChIkey2D ?InChIkey2D . + }",Medium +32,"""How many features annotated as 'Tetraketide meroterpenoids' by CANOPUS are found for each submitted taxon and extract in database?""","PREFIX ns1: + + SELECT ?submittedTaxon ?extract (COUNT(?feature) AS ?featureCount) WHERE { - ?sirius_annotation ns1:has_InChIkey2D ?InChIkey2D . - ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey . - ?InChIkey ns2:has_chembl_id ?chembl_chemical . - ?chembl_chemical ns2:has_chembl_activity ?chembl_assay_results . - ?chembl_assay_results ns2:target_id ?chembl_target . - }",High -39,Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: Retrieve the Spec2Vec documents associated with MS2 spectra from the lab extracts of Tabernaemontana coffeoides.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?spec2vecDoc\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aa6e48ec3a194a14a7a9f918774c080a/tmpxvtl3hcs.csv\n\nI will now analyze the SPARQL output to provide the final answer.\nThe final answer based on the SPARQL output is as follows:\n\nThe Spec2Vec documents (Spec2VecDoc) associated with MS2 spectra (MS2Spectrum) from the lab extracts (LabExtract) of Tabernaemontana coffeoides have been retrieved. The details are stored in the file located at:\n\n**File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aa6e48ec3a194a14a7a9f918774c080a/tmpxvtl3hcs.csv\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n```json\n{\n \""question\"": \""Retrieve the Spec2Vec documents (Spec2VecDoc) associated with MS2 spectra (MS2Spectrum) from the lab extracts (LabExtract) of Tabernaemontana coffeoides.\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\n\\nSELECT ?spec2vecDoc\\nWHERE {\\n ?rawMaterial ns1:has_wd_id .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\\n ?featureList ns1:has_lcms_feature ?feature .\\n ?feature ns1:has_spec2vec_doc ?spec2vecDoc .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/aa6e48ec3a194a14a7a9f918774c080a/tmpxvtl3hcs.csv\""\n}\n```\n\nPlease review the file for the detailed Spec2Vec documents."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?feature ns1:has_canopus_annotation ?annotation . + ?annotation ns1:has_canopus_npc_class . + ?featureList ns1:has_lcms_feature ?feature . + ?analysis ns1:has_lcms_feature_list ?featureList . + ?extract ns1:has_LCMS ?analysis . + ?rawMaterial ns1:has_lab_process ?extract . + ?rawMaterial ns1:submitted_taxon ?submittedTaxon . + } + GROUP BY ?submittedTaxon ?extract",Medium +33," ""What are the retention times, parent masses, and associated Spec2Vec peaks for features in the LC-MS analysis of the plant Rumex nepalensis in positive ion mode?""","PREFIX ns1: PREFIX ns2: - SELECT ?spec2vecDoc + SELECT ?retention_time ?parent_mass ?spec2vec_peak WHERE { - ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . ?labExtract ns1:has_LCMS ?lcmsAnalysis . + ?lcmsAnalysis a ns1:LCMSAnalysisPos . ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_retention_time ?retention_time . + ?feature ns1:has_parent_mass ?parent_mass . ?feature ns1:has_spec2vec_doc ?spec2vecDoc . + ?spec2vecDoc ns1:has_spec2vec_peak ?spec2vec_peak . }",Medium -40,List the bioassay results at 10碌g/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the bioassay results at 10碌g/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the bioassay results at 10碌g/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The bioassay results at 10碌g/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides are as follows:\n\n1. Lab Extract: [VGF152_B02](https://enpkg.commons-lab.org/kg/VGF152_B02)\n - BioAssay Result: [VGF152_B02_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF152_B02_Tcruzi_10ugml)\n\n2. Lab Extract: [VGF152_A02](https://enpkg.commons-lab.org/kg/VGF152_A02)\n - BioAssay Result: [VGF152_A02_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF152_A02_Tcruzi_10ugml)\n\n3. Lab Extract: [VGF151_G11](https://enpkg.commons-lab.org/kg/VGF151_G11)\n - BioAssay Result: [VGF151_G11_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF151_G11_Tcruzi_10ugml)\n\n4. Lab Extract: [VGF151_H11](https://enpkg.commons-lab.org/kg/VGF151_H11)\n - BioAssay Result: [VGF151_H11_Tcruzi_10ugml](https://enpkg.commons-lab.org/module/VGF151_H11_Tcruzi_10ugml)\n\nHere is the dictionary containing the question, generated SPARQL query, and file path to the query result:\n\n```json\n{\n \""question\"": \""List the bioassay results (BioAssayResults) at 10碌g/mL against T.cruzi (Tcruzi10ugml) for lab extracts (LabExtract) of Tabernaemontana coffeoides.\"",\n \""generated_sparql_query\"": \""PREFIX ns1: \\nPREFIX ns2: \\nPREFIX wd: \\n\\nSELECT ?labExtract ?bioAssayResult\\nWHERE {\\n ?rawMaterial ns1:has_wd_id wd:Q15376858 .\\n ?rawMaterial ns1:has_lab_process ?labExtract .\\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\\n ?bioAssayResult a ns2:Tcruzi10ugml .\\n}\"",\n \""file_path\"": \""/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/341300dcf0174e67999e30cc1e34324b/tmpvt5pfz18.csv\""\n}\n```"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +34, “What are the most frequent SIRIUS chemical structure annotations (planar structure) observed from the extracts belonging to Hibiscus syriacus?”,"PREFIX ns1: PREFIX ns2: -PREFIX wd: -SELECT ?labExtract ?bioAssayResult +SELECT ?InChIkey2D (COUNT(?InChIkey2D) AS ?frequency) WHERE { - ?rawMaterial ns1:has_wd_id wd:Q15376858 . + ?rawMaterial ns1:has_wd_id . ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns2:has_bioassay_results ?bioAssayResult . - ?bioAssayResult a ns2:Tcruzi10ugml . -}",Medium -41,What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides ?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides ?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?siriusAnnotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation a ns1:SiriusStructureAnnotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/d851d6aa70ca4256a4862a6e4811b956/tmpr1p_smpd.csv`\n\nI will now analyze the SPARQL output to provide the final answer.\nThe SPARQL query has been executed successfully, and the results are stored in the specified file. Here is the final answer based on the SPARQL output:\n\n- **Question**: What are the SIRIUS structural annotations (SiriusStructureAnnotation) associated with the MS2 spectra (MS2Spectrum) from the lab extracts (LabExtract) of Tabernaemontana coffeoides?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?siriusAnnotation\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation a ns1:SiriusStructureAnnotation .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/d851d6aa70ca4256a4862a6e4811b956/tmpr1p_smpd.csv`\n\nThe file contains the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides. You can access the detailed results in the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_sirius_annotation ?annotation . + ?annotation ns1:has_InChIkey2D ?InChIkey2D . +} +GROUP BY ?InChIkey2D +ORDER BY DESC(?frequency)",Medium +35,"""Which molecules (represented by their InChIkey) have reported ChEMBL activity with activity type IC50 and activity values below 500 nM against Leishmania donovani target?""","PREFIX ns1: + PREFIX ns2: + + SELECT ?InChIkey + WHERE { + ?chemicalEntity ns2:has_chembl_id ?chemblChemical . + ?chemblChemical ns2:has_chembl_activity ?assayResults . + ?assayResults ns2:target_id ; + ns2:activity_type ""IC50"" ; + ns2:activity_value ?activityValue . + FILTER(?activityValue < 500) + ?chemicalEntity ns1:has_wd_id ?wd_id . + ?InChIkey ns1:has_wd_id ?wd_id . + }",High +36," ""What are the SIRIUS structural annotations associated with the MS2 spectra from the lab extracts of Tabernaemontana coffeoides ?""","PREFIX ns1: PREFIX ns2: SELECT ?siriusAnnotation @@ -561,33 +514,25 @@ WHERE { ?feature ns1:has_sirius_annotation ?siriusAnnotation . ?siriusAnnotation a ns1:SiriusStructureAnnotation . }",Low -42,Filter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm). Provide the features and retention time.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Filter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm). Provide the features and retention time."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Melochia umbellata, http://www.wikidata.org/entity/Q6813281, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n### Question:\nFilter the pos ionization mode features of the Melochia umbellata taxon annotated as [M+H]+ by SIRIUS to keep the ones for which a feature in neg ionization mode is detected with the same retention time (+/- 3 seconds) and a mass corresponding to the [M-H]- SIRIUS adduct (+/- 5ppm).\n\n### Generated SPARQL Query:\n```sparql\nPREFIX ns1: \nPREFIX ns2: \nPREFIX wdt: \n\nSELECT ?posFeature ?negFeature\nWHERE {\n ?rawMaterial ns1:has_wd_id ;\n ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?posAnalysis, ?negAnalysis .\n ?posAnalysis a ns1:LCMSAnalysisPos ;\n ns1:has_lcms_feature_list ?posFeatureList .\n ?negAnalysis a ns1:LCMSAnalysisNeg ;\n ns1:has_lcms_feature_list ?negFeatureList .\n ?posFeatureList ns1:has_lcms_feature ?posFeature .\n ?negFeatureList ns1:has_lcms_feature ?negFeature .\n ?posFeature ns1:has_sirius_annotation ?posAnnotation ;\n ns1:has_retention_time ?posRT ;\n ns1:has_parent_mass ?posMass .\n ?negFeature ns1:has_sirius_annotation ?negAnnotation ;\n ns1:has_retention_time ?negRT ;\n ns1:has_parent_mass ?negMass .\n ?posAnnotation ns1:has_sirius_adduct \""[M+H]+\"" .\n ?negAnnotation ns1:has_sirius_adduct \""[M-H]-\"" .\n FILTER (ABS(?posRT - ?negRT) <= 3)\n FILTER (ABS(?posMass - ?negMass) / ?posMass <= 0.000005)\n}\n```\n\n### File Path:\nThe results of the query have been saved to the following file path: `/tmp/kgbot/tmprvccrkkb.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +37," ""Which lab extracts from Melochia umbellata yield compounds that, when analyzed in positive ionization mode LCMS, have a retention time of less than 6 minutes and demonstrate an inhibition percentage greater than 70% in bioassay results? Provide lab extracts, retention times and inhibition percentage.""","PREFIX ns1: PREFIX ns2: -PREFIX wdt: +PREFIX wd: -SELECT ?posFeature ?negFeature +SELECT ?labExtract ?retentionTime ?inhibitionPercentage WHERE { - ?rawMaterial ns1:has_wd_id ; - ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?posAnalysis, ?negAnalysis . - ?posAnalysis a ns1:LCMSAnalysisPos ; - ns1:has_lcms_feature_list ?posFeatureList . - ?negAnalysis a ns1:LCMSAnalysisNeg ; - ns1:has_lcms_feature_list ?negFeatureList . - ?posFeatureList ns1:has_lcms_feature ?posFeature . - ?negFeatureList ns1:has_lcms_feature ?negFeature . - ?posFeature ns1:has_sirius_annotation ?posAnnotation ; - ns1:has_retention_time ?posRT ; - ns1:has_parent_mass ?posMass . - ?negFeature ns1:has_sirius_annotation ?negAnnotation ; - ns1:has_retention_time ?negRT ; - ns1:has_parent_mass ?negMass . - ?posAnnotation ns1:has_sirius_adduct ""[M+H]+"" . - ?negAnnotation ns1:has_sirius_adduct ""[M-H]-"" . - FILTER (ABS(?posRT - ?negRT) <= 3) - FILTER (ABS(?posMass - ?negMass) / ?posMass <= 0.000005) -}",High -43,Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": [""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata"", ""Tabernaemontana genus, http://www.wikidata.org/entity/Q310915, Wikidata""], ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The final merged output file has been generated. Here are the details:\n\n- **Question**: Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?wd_id\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis a ns1:LCMSAnalysisPos .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_InChIkey2D ?inchiKey2D .\n ?inchiKey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/3b8bb2a213ab4b1faf41570486facaae/tmp4g0h_2d5.csv`\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The wikidata IDs of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata have been processed. \n\n"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ?rawMaterial ns1:has_wd_id wd:Q6813281 . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . + ?analysis a ns1:LCMSAnalysisPos . + ?analysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_retention_time ?retentionTime . + FILTER(?retentionTime < 6) + ?labExtract ns2:has_bioassay_results ?bioAssayResult . + ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage . + FILTER(?inhibitionPercentage > 70) +}",Medium +38," ""Provide the wikidata ids of the chemical entities annotated by SIRIUS for Tabernaemontana coffeoides seeds extract taxon obtained in positive mode which are also reported in the Tabernaemontana genus in Wikidata.""","PREFIX ns1: PREFIX ns2: SELECT ?wd_id @@ -603,62 +548,81 @@ WHERE { ?inchiKey2D ns1:is_InChIkey2D_of ?chemicalEntity . ?chemicalEntity ns1:has_wd_id ?wd_id . }",High -44,"Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?","{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here is the information:\n\n- **Question**: Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?chemblDocument ?labExtract (COUNT(?InChIkey2D) AS ?sharedCompoundCount)\n WHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?siriusAnnotation .\n ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D .\n\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns2:has_chembl_id ?chemblChemical .\n\n ?chemblChemical ns2:has_chembl_activity ?assayResult .\n ?assayResult ns2:stated_in_document ?chemblDocument .\n }\n GROUP BY ?chemblDocument ?labExtract\n ORDER BY DESC(?sharedCompoundCount)\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/ff49c14268314ce9948ca2f02f8fc1d0/tmpy5x90ltz.csv`\n\nPlease refer to the file for detailed results."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The ChEMBL document and lab extract with the highest number of shared compounds are as follows:\n\n- **ChEMBL Document**: [https://www.ebi.ac.uk/chembl/document_report_c...](https://www.ebi.ac.uk/chembl/document_report_c...)\n- **Lab Extract**: [https://enpkg.commons-lab.org/kg/VGF142_G04](https://enpkg.commons-lab.org/kg/VGF142_G04)\n- **Shared Compound Count**: 125\n\nThis information provides the details of the ChEMBL document and lab extract with the highest number of shared compounds. If you need further analysis or visualization, please let me know.\n\nThe full path of the files generated are: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/ff49c14268314ce9948ca2f02f8fc1d0/tmpy5x90ltz.csv`\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +39," ""What is the highest inhibition percentage recorded for compounds observed in Rauvolfia vomitoria extract?""","PREFIX ns1: PREFIX ns2: + PREFIX wd: - SELECT ?chemblDocument ?labExtract (COUNT(?InChIkey2D) AS ?sharedCompoundCount) + SELECT ?inhibition_percentage WHERE { - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_sirius_annotation ?siriusAnnotation . - ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D . - - ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity . - ?chemicalEntity ns2:has_chembl_id ?chemblChemical . - - ?chemblChemical ns2:has_chembl_activity ?assayResult . - ?assayResult ns2:stated_in_document ?chemblDocument . + ?rawMaterial ns1:has_wd_id wd:Q5225969 . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns2:has_bioassay_results ?bioAssayResult . + ?bioAssayResult ns2:inhibition_percentage ?inhibition_percentage . } - GROUP BY ?chemblDocument ?labExtract - ORDER BY DESC(?sharedCompoundCount)",High -45,What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Trypanosoma cruzi, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL368, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""Here is the information you requested:\n\n- **Question**: What are the Wikidata IDs of chemical entities that have ChEMBL activity against Trypanosoma cruzi target?\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?wd_id\n WHERE {\n ?chemicalEntity ns2:has_chembl_id ?chemblChemical .\n ?chemblChemical ns2:has_chembl_activity ?assayResults .\n ?assayResults ns2:target_id .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: The results are saved in the file located at `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/18465df0915e441aa7285e242e5b5927/tmpsavbcot0.csv`.\n\nPlease let me know if you need further assistance!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The file has been processed, and here are some of the Wikidata IDs of chemical entities that have ChEMBL activity against the Trypanosoma cruzi target:\n\n1. [Q82238903](http://www.wikidata.org/entity/Q82238903)\n2. [Q27095836](http://www.wikidata.org/entity/Q27095836)\n\nThese IDs were extracted from the provided file. If you need further analysis or a specific visualization, please let me know. \n\nNo visualization file was generated, but the data can be downloaded from the provided file path."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: + ORDER BY DESC(?inhibition_percentage) + LIMIT 1",Low +40," ""List the bioassay results at 10µg/mL against T.cruzi for lab extracts of Tabernaemontana coffeoides.""","PREFIX ns1: +PREFIX ns2: +PREFIX wd: + +SELECT ?labExtract ?bioAssayResult +WHERE { + ?rawMaterial ns1:has_wd_id wd:Q15376858 . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns2:has_bioassay_results ?bioAssayResult . + ?bioAssayResult a ns2:Tcruzi10ugml . +}",Medium +41,"""For the LC-MS feature observed in the extracts of Tabernaemontana coffeoides, retrieve those that are annotated with a NPCPathways with CANOPUS.""","PREFIX ns1: PREFIX ns2: - SELECT ?wd_id + SELECT ?feature WHERE { - ?chemicalEntity ns2:has_chembl_id ?chemblChemical . - ?chemblChemical ns2:has_chembl_activity ?assayResults . - ?assayResults ns2:target_id . - ?chemicalEntity ns1:has_wd_id ?wd_id . + ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_canopus_annotation ?annotation . + ?annotation ns1:has_canopus_npc_pathway ?npcPathway . }",Medium -46,Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 碌g/mL?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 碌g/mL?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 碌g/mL?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Leishmania donovani, https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL367, ChEMBLTarget\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The lab extracts that have bioassay results with inhibition percentages above 50% against the Leishmania donovani target are identified by the following identifiers:\n\n- VGF159_F04\n- VGF159_B08\n- VGF159_B09\n- VGF159_E03\n- VGF159_H03\n- VGF158_C03\n- VGF158_B03\n- VGF158_G06\n- VGF158_A10\n- VGF158_H02\n- VGF158_A03\n- VGF158_D03\n- VGF158_D08\n- VGF158_C04\n- VGF158_H09\n- VGF158_G09\n- VGF157_C04\n- VGF157_D03\n- VGF157_H05\n- VGF157_C03\n- VGF157_C05\n- VGF157_D10\n- VGF157_E04\n- VGF156_E04\n- VGF156_D09\n- VGF156_A05\n- VGF155_B07\n- VGF155_A08\n- VGF155_E10\n- VGF155_D09\n- VGF155_C04\n- VGF155_B05\n- VGF155_C02\n- VGF155_A10\n- VGF155_F10\n- VGF155_D08\n- VGF154_A10\n- VGF154_A02\n- VGF154_A04\n- VGF152_G03\n- VGF152_H03\n- VGF152_D08\n- VGF152_H09\n- VGF152_A10\n- VGF151_A06\n- VGF151_A03\n- VGF151_H08\n- VGF151_H11\n- VGF147_H05\n- VGF147_F04\n- VGF147_G04\n- VGF146_F02\n- VGF145_G10\n- VGF144_E05\n- VGF143_G02\n- VGF142_G04\n- VGF142_B07\n- VGF142_G05\n- VGF142_B10\n- VGF141_C06\n- VGF141_B11\n- VGF140_E05\n- VGF140_A09\n- VGF139_A09\n- VGF139_D08\n- VGF138_B06\n- VGF138_E06\n- VGF138_E03\n- VGF138_E05\n- VGF138_G03\n\nThese identifiers correspond to specific lab extracts that have shown significant inhibition against the Leishmania donovani target.nHere is the SPARQL query that was generated:\n\n```sparql\nPREFIX ns1: \nPREFIX ns2: \n\nSELECT ?labExtract\nWHERE {\n ?labExtract ns2:has_bioassay_results ?bioAssayResult .\n ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ;\n ns2:target_id .\n ?bioAssayResult a ns2:Ldono10ugml.\n FILTER(?inhibitionPercentage > 50)\n}\n```\n\nIf you have any further questions or need additional information, feel free to ask!"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +42," ""List the tissue types used to produce the lab extracts of Tabernaemontana coffeoides. Provide the tissue types and lab extracts. ""","PREFIX ns1: PREFIX ns2: -SELECT ?labExtract +SELECT ?tissue ?labExtract +WHERE { + ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?rawMaterial ns2:has_tissue ?tissue . +}",Low +43,"""Retrieve the mass differences and cosine similarity scores for spectral pairs involving MS2 spectra from Desmodium heterophyllum.""","PREFIX ns1: + + SELECT ?mass_difference ?cosine + WHERE { + ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?lcmsAnalysis . + ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?spectralPair ns1:has_member ?feature . + ?spectralPair ns1:has_mass_difference ?mass_difference . + ?spectralPair ns1:has_cosine ?cosine . + }",High +44," ""Retrieve the top 5 tissues used to produce lab extracts that contain compounds with inhibition activity greater than 70% against Leishmania donovani target at 10 µg/mL""","PREFIX ns1: +PREFIX ns2: + +SELECT ?tissue (COUNT(?labExtract) AS ?count) WHERE { ?labExtract ns2:has_bioassay_results ?bioAssayResult . ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ; ns2:target_id . - ?bioAssayResult a ns2:Ldono10ugml. - FILTER(?inhibitionPercentage > 50) -}",Medium -47,List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: List the top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The top 3 lab extracts with the highest number of unique compounds annotated by CANOPUS with a probability greater than 0.9 are:\n\n1. Lab Extract: [SC_AP_Wi_DCM](https://enpkg.commons-lab.org/kg/SC_AP_Wi_DCM) with 69 unique compounds.\n2. Lab Extract: [VGF153_F06](https://enpkg.commons-lab.org/kg/VGF153_F06) with 58 unique compounds.\n3. Lab Extract: [VGF156_B04](https://enpkg.commons-lab.org/kg/VGF156_B04) with 49 unique compounds.\n\nHere is the SPARQL query used to obtain this information:\n\n```sparql\nPREFIX ns1: \n\nSELECT ?labExtract (COUNT(DISTINCT ?compound) AS ?uniqueCompounds)\nWHERE {\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_canopus_annotation ?annotation .\n ?annotation ns1:has_canopus_npc_class ?compound .\n ?annotation ns1:has_canopus_npc_class_prob ?probability .\n FILTER(?probability > 0.9)\n}\nGROUP BY ?labExtract\nORDER BY DESC(?uniqueCompounds)\nLIMIT 3\n```\n\nThe results are saved in the file located at: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/5cf09a28bf1049dbb23b09915c0fc8e1/tmp35c6yy5y.csv`."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - -SELECT ?labExtract (COUNT(DISTINCT ?compound) AS ?uniqueCompounds) -WHERE { - ?labExtract ns1:has_LCMS ?analysis . - ?analysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_canopus_annotation ?annotation . - ?annotation ns1:has_canopus_npc_class ?compound . - ?annotation ns1:has_canopus_npc_class_prob ?probability . - FILTER(?probability > 0.9) + FILTER(?inhibitionPercentage > 70) + ?rawMaterial ns1:has_lab_process ?labExtract ; + ns2:has_tissue ?tissue . } -GROUP BY ?labExtract -ORDER BY DESC(?uniqueCompounds) -LIMIT 3",High -48,Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Terpenoids, https://enpkg.commons-lab.org/kg/npc_Terpenoids, NPCPathway;\nTabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""Here is the information retrieved from the SPARQL query:\n\n- **Question**: Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides.\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n\n SELECT ?wd_id\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?feature_list .\n ?feature_list ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_InChIkey2D ?InChIkey2D .\n ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity .\n ?chemicalEntity ns1:has_npc_pathway .\n ?chemicalEntity ns1:has_wd_id ?wd_id .\n }\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/40c708550e684b0685c41a14cae47bd2/tmpcgattsm4.csv`\n\nThis information will be provided to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The Wikidata IDs of the chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides are:\n\n1. [Q105262918](http://www.wikidata.org/entity/Q105262918)\n2. [Q104398790](http://www.wikidata.org/entity/Q104398790)\n3. [Q105262918](http://www.wikidata.org/entity/Q105262918)\n4. [Q104398790](http://www.wikidata.org/entity/Q104398790)\n5. [Q104953850](http://www.wikidata.org/entity/Q104953850)\n\nNo visualization is available, but the data can be downloaded if needed. If you need further analysis or a specific visualization, please let me know. \n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +GROUP BY ?tissue +ORDER BY DESC(?count) +LIMIT 5",High +45," ""Retrieve the Wikidata IDs of chemical entities classified as Terpenoids in the lab extracts of Tabernaemontana coffeoides.""","PREFIX ns1: SELECT ?wd_id WHERE { @@ -673,23 +637,7 @@ LIMIT 3",High ?chemicalEntity ns1:has_npc_pathway . ?chemicalEntity ns1:has_wd_id ?wd_id . }",High -49,What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Tabernaemontana coffeoides, http://www.wikidata.org/entity/Q15376858, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides are:\n\n1. [M+H]+ with a frequency of 1079\n2. [M+NH4]+ with a frequency of 432\n3. [M+Na]+ with a frequency of 263\n4. [M+K]+ with a frequency of 65\n\nHere is the dictionary containing the question, generated SPARQL query, and file path:\n\n- **Question**: What are the most frequent adducts of LCMS features annotated by SIRIUS detected in positive ionization mode from Tabernaemontana coffeoides?\n- **Generated SPARQL Query**: \n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?adduct (COUNT(?adduct) AS ?frequency)\n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?lcmsAnalysis .\n ?lcmsAnalysis a ns1:LCMSAnalysisPos .\n ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature .\n ?feature ns1:has_sirius_annotation ?annotation .\n ?annotation ns1:has_adduct ?adduct .\n }\n GROUP BY ?adduct\n ORDER BY DESC(?frequency)\n ```\n- **File Path**: `/var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/d8669ea7b6ab4a75a171344bc71c5b61/tmpnm0aoqfg.csv`"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: - PREFIX ns2: - - SELECT ?adduct (COUNT(?adduct) AS ?frequency) - WHERE { - ?rawMaterial ns1:has_wd_id . - ?rawMaterial ns1:has_lab_process ?labExtract . - ?labExtract ns1:has_LCMS ?lcmsAnalysis . - ?lcmsAnalysis a ns1:LCMSAnalysisPos . - ?lcmsAnalysis ns1:has_lcms_feature_list ?featureList . - ?featureList ns1:has_lcms_feature ?feature . - ?feature ns1:has_sirius_annotation ?annotation . - ?annotation ns1:has_adduct ?adduct . - } - GROUP BY ?adduct - ORDER BY DESC(?frequency)",Medium -50,What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature.,"{""next"": ""FINISH"", ""messages"": [{""type"": ""human"", ""content"": ""What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature. "", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Entry_Agent"", ""type"": ""human"", ""content"": ""Starting the processing of the question: What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Validator"", ""type"": ""human"", ""content"": ""The question is valid."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""ENPKG_agent"", ""type"": ""human"", ""content"": ""\""Desmodium heterophyllum, http://www.wikidata.org/entity/Q10770714, Wikidata\"""", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Sparql_query_runner"", ""type"": ""human"", ""content"": ""The SPARQL query has been successfully generated and executed. Here are the details:\n\n- **Question**: What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features and annotations for each feature .\n- **Generated SPARQL Query**:\n ```sparql\n PREFIX ns1: \n PREFIX ns2: \n\n SELECT ?feature1 ?feature2 ?annotation1 ?annotation2 \n WHERE {\n ?rawMaterial ns1:has_wd_id .\n ?rawMaterial ns1:has_lab_process ?labExtract .\n ?labExtract ns1:has_LCMS ?analysis .\n ?analysis ns1:has_lcms_feature_list ?featureList .\n ?featureList ns1:has_lcms_feature ?feature1, ?feature2 .\n ?pair ns1:has_member ?feature1, ?feature2 .\n ?pair ns1:has_cosine ?cosine .\n FILTER(?cosine > 0.8)\n ?feature1 ns1:has_canopus_annotation ?annotation1 .\n ?feature2 ns1:has_canopus_annotation ?annotation2 .\n }\n ```\n- **File Path**: /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e88e690ae0ad4816a764af78599a625a/tmp2igkyrj2.csv\n\nI will now provide this information to the supervisor for further analysis."", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}, {""name"": ""Interpreter_agent"", ""type"": ""human"", ""content"": ""The analysis has been completed, and there are 14,484 pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8. The features, annotations, and cosine scores have been extracted.\n\nIf you need more specific details or a visualization of this data, please let me know. The data can be downloaded for further analysis. \n\nThe full path of the generated file is:\n- /var/folders/20/4kgcw5656h12ss_nj18mndwm0000gn/T/kgbot/e88e690ae0ad4816a764af78599a625a/tmp2igkyrj2.csv\n\nFINISHED"", ""example"": false, ""additional_kwargs"": {}, ""response_metadata"": {}}]}","PREFIX ns1: +46,"""What are the CANOPUS annotations for pairs of features from Desmodium heterophyllum extracts that share a cosine similarity score greater than 0.8? Provide the features, and annotations""","PREFIX ns1: PREFIX ns2: SELECT ?feature1 ?feature2 ?annotation1 ?annotation2 @@ -704,4 +652,61 @@ LIMIT 3",High FILTER(?cosine > 0.8) ?feature1 ns1:has_canopus_annotation ?annotation1 . ?feature2 ns1:has_canopus_annotation ?annotation2 . - }",High \ No newline at end of file + }",High +47,"""Which ChEMBL documents cited in ChEMBL assay results involve compounds (identified by InChIKeys) that are also observed in SIRIUS structural annotations within lab extracts, and which lab extracts contain the highest number of these shared compounds?","PREFIX ns1: + PREFIX ns2: + + SELECT ?chemblDocument ?labExtract (COUNT(?InChIkey2D) AS ?sharedCompoundCount) + WHERE { + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?featureList . + ?featureList ns1:has_lcms_feature ?feature . + ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?siriusAnnotation ns1:has_InChIkey2D ?InChIkey2D . + + ?InChIkey2D ns1:is_InChIkey2D_of ?chemicalEntity . + ?chemicalEntity ns2:has_chembl_id ?chemblChemical . + + ?chemblChemical ns2:has_chembl_activity ?assayResult . + ?assayResult ns2:stated_in_document ?chemblDocument . + } + GROUP BY ?chemblDocument ?labExtract + ORDER BY DESC(?sharedCompoundCount)",High +48," “What are the ChEMBL targets +linked to ChEMBL assay results for chemicals sharing InChIKeys with SIRIUS structural annotations ?""","PREFIX ns1: + PREFIX ns2: + + SELECT ?chembl_target + WHERE { + ?sirius_annotation ns1:has_InChIkey2D ?InChIkey2D . + ?InChIkey2D ns1:is_InChIkey2D_of ?InChIkey . + ?InChIkey ns2:has_chembl_id ?chembl_chemical . + ?chembl_chemical ns2:has_chembl_activity ?chembl_assay_results . + ?chembl_assay_results ns2:target_id ?chembl_target . + }",High +49,"""What are SIRIUS structural annotations for LCMS features with cosmic scores above 0.3 associated with Tabernaemontana coffeoides? Report their ZODIAC scores. ""","PREFIX ns1: + PREFIX ns2: + + SELECT ?cosmic_score ?zodiac_score + WHERE { + ?rawMaterial ns1:has_wd_id . + ?rawMaterial ns1:has_lab_process ?labExtract . + ?labExtract ns1:has_LCMS ?analysis . + ?analysis ns1:has_lcms_feature_list ?feature_list . + ?feature_list ns1:has_lcms_feature ?feature . + ?feature ns1:has_sirius_annotation ?siriusAnnotation . + ?siriusAnnotation ns1:has_cosmic_score ?cosmic_score . + FILTER (?cosmic_score > 0.3) + ?siriusAnnotation ns1:has_zodiac_score ?zodiac_score . + }",High +50,""" Which lab extracts have bioassay results with inhibition percentages above 50% against Leishmania donovani target at 10 µg/mL ??""","PREFIX ns1: +PREFIX ns2: + +SELECT ?labExtract +WHERE { + ?labExtract ns2:has_bioassay_results ?bioAssayResult . + ?bioAssayResult ns2:inhibition_percentage ?inhibitionPercentage ; + ns2:target_id . + ?bioAssayResult a ns2:Ldono10ugml. + FILTER(?inhibitionPercentage > 50) +}",Medium diff --git a/app/tests/installation_test.py b/app/tests/installation_test.py index d81cc33..abb8d1d 100644 --- a/app/tests/installation_test.py +++ b/app/tests/installation_test.py @@ -1,12 +1,15 @@ -# installation_test.py - import sys +from pathlib import Path + +REPO_ROOT = Path(__file__).resolve().parents[2] +if str(REPO_ROOT) not in sys.path: + sys.path.insert(0, str(REPO_ROOT)) + +from app.core.main import main -# Automatically provide a question argument for a quick installation test. if "-q" not in sys.argv and "--question" not in sys.argv: sys.argv.extend(["-q", "1"]) -from app.core.main import main -if __name__ == '__main__': +if __name__ == "__main__": main() \ No newline at end of file diff --git a/docs/examples/langsmith-evaluation.md b/docs/examples/langsmith-evaluation.md new file mode 100644 index 0000000..c6a489c --- /dev/null +++ b/docs/examples/langsmith-evaluation.md @@ -0,0 +1,20 @@ +# LangSmith automated evaluation + +To run the automated evaluation you need a **LangSmith API key**. Create an account and generate an API key using the LangSmith docs: [Create an account and API key](https://docs.langchain.com/langsmith/create-account-api-key). + +Add the key to your repo-root `.env` (do not commit it), along with your LLM provider key: + +```env +LANGCHAIN_API_KEY=your_langsmith_key # or LANGSMITH_API_KEY +LANGCHAIN_PROJECT=MetaboT_Test_Run +OPENAI_API_KEY=your_openai_key +``` + +Then run (from the repository root): + +```bash +python -m app.core.tests.evaluation +``` + +This starts the benchmark evaluation (running MetaboT on ~50 questions). LLM-based evaluators compare the generated answers with the reference answers. A link to the evaluation run will appear once the evaluation starts, and you can also find it later in your LangSmith account. + diff --git a/streamlit_webapp/streamlit_utils.py b/streamlit_webapp/streamlit_utils.py index c48cf40..de6460b 100644 --- a/streamlit_webapp/streamlit_utils.py +++ b/streamlit_webapp/streamlit_utils.py @@ -305,10 +305,10 @@ def new_process_langgraph_output(k, v, session_id): contents.append({"type": "text", "content": f"Agent Supervisor is calling {agent_name}. \n\n"}) elif 'next' in v and v['next'] == "FINISH": contents.append({"type": "text", "content": "Chain finished"}) - elif k == "Entry_agent": + elif k == "Entry_Agent": content = v['messages'][0].content contents.append({"type": "text", "content": f"Entry agent: {content}. \n\n"}) - elif k == "Validator_agent": + elif k == "Validator": content = v['messages'][0].content contents.append({"type": "text", "content": f"Validator agent: {content}. \n\n"}) elif k == "ENPKG_agent":