Triple
T17521722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bioconductor |
E426691
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
BiocWorkflowTools
BiocWorkflowTools is an R package in the Bioconductor ecosystem that provides utilities for developing, documenting, and managing reproducible bioinformatics workflows.
|
E1274386
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BiocWorkflowTools | Statement: [Bioconductor, hasComponent, BiocWorkflowTools]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BiocWorkflowTools Context triple: [Bioconductor, hasComponent, BiocWorkflowTools]
-
A.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
B.
OncoAnalytics
OncoAnalytics is a data and analytics platform by Flatiron Health that provides real-world oncology insights to support cancer research and clinical decision-making.
-
C.
Genome Data Viewer
Genome Data Viewer is an NCBI web-based genome browser that allows users to visualize, explore, and analyze annotated genomic sequences and features.
-
D.
Argo Workflows
Argo Workflows is a Kubernetes-native workflow engine for orchestrating complex container-based jobs and CI/CD pipelines using declarative YAML.
-
E.
Bioinformatic Engineering
Bioinformatic Engineering is an interdisciplinary field that applies computational, mathematical, and engineering approaches to analyze biological data and solve complex problems in life sciences and medicine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BiocWorkflowTools Triple: [Bioconductor, hasComponent, BiocWorkflowTools]
Generated description
BiocWorkflowTools is an R package in the Bioconductor ecosystem that provides utilities for developing, documenting, and managing reproducible bioinformatics workflows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BiocWorkflowTools Target entity description: BiocWorkflowTools is an R package in the Bioconductor ecosystem that provides utilities for developing, documenting, and managing reproducible bioinformatics workflows.
-
A.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
B.
OncoAnalytics
OncoAnalytics is a data and analytics platform by Flatiron Health that provides real-world oncology insights to support cancer research and clinical decision-making.
-
C.
Genome Data Viewer
Genome Data Viewer is an NCBI web-based genome browser that allows users to visualize, explore, and analyze annotated genomic sequences and features.
-
D.
Argo Workflows
Argo Workflows is a Kubernetes-native workflow engine for orchestrating complex container-based jobs and CI/CD pipelines using declarative YAML.
-
E.
Bioinformatic Engineering
Bioinformatic Engineering is an interdisciplinary field that applies computational, mathematical, and engineering approaches to analyze biological data and solve complex problems in life sciences and medicine.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94237d08190bb1f874735c87803 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01cabea2b48190a690b17a88d45b40 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cefa08f8819086cb86ce22193baa |
completed | May 11, 2026, 12:43 p.m. |
Created at: April 10, 2026, 5:49 a.m.