Triple

T12562155
Position Surface form Disambiguated ID Type / Status
Subject TeX Live E295375 entity
Predicate alternativeTo P5887 FINISHED
Object MiKTeX E308576 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: MiKTeX | Statement: [TeX Live, alternativeTo, MiKTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MiKTeX
Context triple: [TeX Live, alternativeTo, MiKTeX]
  • A. MiKTeX chosen
    MiKTeX is a popular free distribution of the LaTeX typesetting system for Windows and other platforms, providing an easy installer and automatic package management.
  • B. TeXstudio
    TeXstudio is a cross-platform, feature-rich integrated writing environment designed to make creating and editing LaTeX documents easier and more efficient.
  • 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. MacTeX
    MacTeX is a comprehensive TeX distribution tailored for macOS, bundling LaTeX, related tools, and a native installer for Mac users.
  • E. upTeX
    upTeX is a Japanese-enabled TeX engine that extends pTeX with full Unicode support for typesetting multilingual documents, especially those containing Japanese text.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb71c548190826d243a354bd01c completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 11:48 p.m.