Triple

T2792248
Position Surface form Disambiguated ID Type / Status
Subject GNU C Library E61955 entity
Predicate supportsStandard P1587 FINISHED
Object ISO C E51009 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: ISO C | Statement: [GNU C Library, supportsStandard, ISO C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO C
Context triple: [GNU C Library, supportsStandard, ISO C]
  • A. ISO/IEC 9899 chosen
    ISO/IEC 9899 is the international standard that defines the C programming language’s syntax, semantics, and library.
  • B. ISO 646
    ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
  • C. ISO/IEC 14882
    ISO/IEC 14882 is the international standard that formally defines the C++ programming language, including its core language features and standard library.
  • D. ISOO
    ISOO is a U.S. government office responsible for overseeing the security classification system and safeguarding of national security information.
  • E. C
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.