Triple

T17521723
Position Surface form Disambiguated ID Type / Status
Subject Bioconductor E426691 entity
Predicate hasComponent P35 FINISHED
Object SingleCellExperiment package NE NERFINISHED

How this triple was built (3 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: SingleCellExperiment package | Statement: [Bioconductor, hasComponent, SingleCellExperiment package]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SingleCellExperiment package
Context triple: [Bioconductor, hasComponent, SingleCellExperiment package]
  • 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. 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.
  • C. 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.
  • D. Yale Center for High Throughput Cell Biology
    The Yale Center for High Throughput Cell Biology is a research center specializing in large-scale, automated cellular analysis and imaging to advance biomedical discovery.
  • E. Centre for Collaboration with Biobank Networks
    The Centre for Collaboration with Biobank Networks is a unit within Norway’s public health system that coordinates and supports cooperation among biobanks to advance research and public health initiatives.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SingleCellExperiment package
Target entity description: The SingleCellExperiment package is an R/Bioconductor framework for storing, managing, and analyzing single-cell genomics data in a standardized, interoperable format.
  • A. Bioconductor chosen
    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. 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.
  • C. 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.
  • D. Yale Center for High Throughput Cell Biology
    The Yale Center for High Throughput Cell Biology is a research center specializing in large-scale, automated cellular analysis and imaging to advance biomedical discovery.
  • E. Centre for Collaboration with Biobank Networks
    The Centre for Collaboration with Biobank Networks is a unit within Norway’s public health system that coordinates and supports cooperation among biobanks to advance research and public health initiatives.
  • F. None of above.

Provenance (2 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.
Created at: April 10, 2026, 5:49 a.m.