Triple

T16907718
Position Surface form Disambiguated ID Type / Status
Subject cweave E424604 entity
Predicate documentationLanguage P3681 FINISHED
Object TeX E61023 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: TeX | Statement: [cweave, documentationLanguage, TeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TeX
Context triple: [cweave, documentationLanguage, TeX]
  • A. 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.
  • B. TeXworks
    TeXworks is a free, cross-platform LaTeX editing environment that provides an integrated PDF viewer and a simple, TeXShop-inspired interface for creating and typesetting documents.
  • C. TeX: The Program
    TeX: The Program is Donald Knuth’s companion volume to The TeXbook, presenting the complete, literate-programming source code and detailed commentary for the TeX typesetting system.
  • D. pdfTeX
    pdfTeX is an extended version of Knuth’s TeX engine that can directly generate PDF output and offers advanced typographic and microtypographic features.
  • E. TeX typesetting system chosen
    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.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca3b1ad081908a032bff9699f2fe completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b39d39481908f5d7aa21008fc63 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:30 a.m.