Triple

T2752694
Position Surface form Disambiguated ID Type / Status
Subject TeX E61023 entity
Predicate relatedTo P37 FINISHED
Object LaTeX E59582 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: LaTeX | Statement: [TeX, relatedTo, LaTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaTeX
Context triple: [TeX, relatedTo, LaTeX]
  • A. LaTeX chosen
    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.
  • B. TeX typesetting system
    TeX is a widely influential digital typesetting system created by Donald Knuth, renowned for its precision in mathematical and technical document preparation and its foundational role in modern computer typesetting.
  • C. TeX Live
    TeX Live is a comprehensive, cross-platform TeX distribution that provides a full suite of tools, macros, and fonts for typesetting documents with TeX, LaTeX, and related systems.
  • D. XeTeX
    XeTeX is an extension of the TeX typesetting system that natively supports Unicode and modern font technologies like OpenType, enabling high-quality multilingual and typographically advanced document production.
  • E. The TeXbook
    The TeXbook is Donald Knuth’s authoritative manual and tutorial on the TeX typesetting system, widely regarded as the definitive reference for learning and using TeX.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6ed9c08190824d1866e198ef80 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc03e69508190b55a4ad83fca3a45 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.