Triple

T4599559
Position Surface form Disambiguated ID Type / Status
Subject Engineering Village E100288 entity
Predicate supportsExportFormat P8463 FINISHED
Object BibTeX E157419 NE FINISHED

How this triple was built (2 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: BibTeX | Statement: [Engineering Village, supportsExportFormat, BibTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BibTeX
Context triple: [Engineering Village, supportsExportFormat, BibTeX]
  • A. BibTeX chosen
    BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
  • B. BCite
    BCite is a legal citation and research service that competes with KeyCite by providing tools to track the history, treatment, and validity of legal authorities.
  • C. EndNote
    EndNote is a reference management software tool used by researchers and students to organize bibliographies, manage citations, and streamline the writing and publishing process.
  • D. RefWorks
    RefWorks is a web-based reference management tool that helps researchers collect, organize, and format citations and bibliographies in various academic styles.
  • E. natbib
    natbib is a widely used LaTeX package that provides flexible citation and bibliography formatting, especially for author–year and numerical reference styles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa54bb0c819081265a6d159ad790 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.