Triple

T18266005
Position Surface form Disambiguated ID Type / Status
Subject Computer Modern E437484 entity
Predicate usedBy P260 FINISHED
Object LaTeX NE NERFINISHED

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: [Computer Modern, usedBy, LaTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaTeX
Context triple: [Computer Modern, usedBy, 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
    TeX is a powerful, widely used typesetting system created by Donald Knuth, especially known for producing high-quality mathematical and scientific documents.
  • C. LyX
    LyX is an open-source, document processor and graphical front-end for LaTeX that lets users create structured, professional-quality documents without directly writing LaTeX code.
  • D. LaTeX Companion
    The LaTeX Companion is a comprehensive reference book that explains advanced LaTeX features, packages, and best practices for typesetting professional-quality documents.
  • E. Isabelle document preparation system
    The Isabelle document preparation system is a tool integrated with the Isabelle proof assistant that supports the structured authoring and typesetting of formal proofs and related documents, typically producing high-quality LaTeX/PDF output.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7af85c81909859e7247738a535 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.