Triple

T34595162
Position Surface form Disambiguated ID Type / Status
Subject stddef.h E888287 entity
Predicate typeCategory P87 FINISHED
Object unsigned integer type for sizes LITERAL 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: unsigned integer type for sizes | Statement: [stddef.h, typeCategory, unsigned integer type for sizes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeCategory
Context triple: [stddef.h, typeCategory, unsigned integer type for sizes]
  • A. textCategory
    Indicates that a piece of text belongs to or is classified under a particular category or type.
  • B. category chosen
    Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
  • C. unitCategory
    Indicates the classification or type of unit that an entity belongs to within a defined system or context.
  • D. tagType
    Indicates the classification or category assigned to a tag, specifying what kind of tag it is or how it should be interpreted.
  • E. functionCategory
    Indicates that one function is classified as belonging to a particular functional category or type.
  • F. None of above.

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_69f349d3bfcc81909874c99e646fb3ea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7234bcaa48190ac970759d34e254a completed May 3, 2026, 10:28 a.m.
PD Predicate disambiguation batch_69f72155c48881909bd40b9aa3febd5a completed May 3, 2026, 10:20 a.m.
Created at: May 1, 2026, 2:03 a.m.