Triple

T6834714
Position Surface form Disambiguated ID Type / Status
Subject BibTeX E157419 entity
Predicate hasAlternative P18099 FINISHED
Object BibLaTeX E621160 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: BibLaTeX | Statement: [BibTeX, hasAlternative, BibLaTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BibLaTeX
Context triple: [BibTeX, hasAlternative, BibLaTeX]
  • A. BibLaTeX chosen
    BibLaTeX is a modern LaTeX package for advanced bibliography and citation management, offering greater flexibility and localization features than traditional BibTeX.
  • B. BibTeX
    BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
  • C. LaTeX
    LaTeX is a widely used, high-quality typesetting system particularly popular in academia for producing technical and scientific documents with precise control over layout and mathematical notation.
  • D. 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.
  • E. LaTeX Companion
    The LaTeX Companion is a comprehensive reference book that explains advanced LaTeX features, packages, and best practices for typesetting professional-quality documents.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67936288190829fedc3729aadd8 completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fab60708190825876e5715c0cc4 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:18 p.m.