Triple

T1159885
Position Surface form Disambiguated ID Type / Status
Subject MathML E24468 entity
Predicate hasVersion P455 FINISHED
Object MathML Core E24468 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: MathML Core | Statement: [MathML, hasVersion, MathML Core]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MathML Core
Context triple: [MathML, hasVersion, MathML Core]
  • A. MathML chosen
    MathML is an XML-based markup language designed to represent and structure mathematical notation for display and processing on the web.
  • B. OpenMath
    OpenMath is a standard for representing the semantic meaning of mathematical expressions in a structured, machine-readable form to enable reliable exchange between computer programs.
  • C. ECMA-334
    ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
  • D. DSSSL
    DSSSL (Document Style Semantics and Specification Language) is an ISO standard language used to define stylesheets and transformations for SGML documents, particularly in technical publishing.
  • E. RELAX NG
    RELAX NG is a schema language used to define and validate the structure and content of XML documents in a concise and flexible way.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a03f6a0819082cd0e0ea74bb5da completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:45 p.m.