Triple

T12899196
Position Surface form Disambiguated ID Type / Status
Subject pdfTeX E308571 entity
Predicate compatibleWith P203 FINISHED
Object ConTeXt E991146 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: ConTeXt | Statement: [pdfTeX, compatibleWith, ConTeXt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ConTeXt
Context triple: [pdfTeX, compatibleWith, ConTeXt]
  • A. ConTeXt chosen
    ConTeXt is a powerful macro package and typesetting system built on TeX, designed for high-quality, programmable document production with strong support for complex layouts and multilingual typesetting.
  • B. LuaTeX
    LuaTeX is an extended TeX-based typesetting engine that embeds the Lua scripting language to provide powerful programmability and advanced typographic features beyond traditional LaTeX workflows.
  • 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. 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 METAFONTbook
    The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717f3fc48190b61c8f6f36cd0725 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.