Triple

T27673247
Position Surface form Disambiguated ID Type / Status
Subject Colt Defense E697713 entity
Predicate roleInM4 P193878 FINISHED
Object original manufacturer of M4 carbine for U.S. military 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: original manufacturer of M4 carbine for U.S. military | Statement: [Colt Defense, roleInM4, original manufacturer of M4 carbine for U.S. military]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInM4
Context triple: [Colt Defense, roleInM4, original manufacturer of M4 carbine for U.S. military]
  • A. roleInName
    Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
  • B. roleInMalfunkshun
    Indicates that an entity holds or held a specific role or position within the band Malfunkshun.
  • C. roleInMCU
    Indicates that one entity portrays or has a specific character role within the Marvel Cinematic Universe in relation to the other entity.
  • D. roleInMDA
    Indicates that an entity participates in a Model-Driven Architecture (MDA) context with a specific role or function in that architecture or process.
  • E. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • F. None of above. chosen

Provenance (4 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_69ef590d458c81909583290c3cd0478b completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69fd592e48cc81909d754cc6c4bd99ae completed May 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69fd58b7f9b881909dc099b28d567784 completed May 8, 2026, 3:30 a.m.
PDg Predicate description generation batch_69fd592cc56081908ce456114d407616 completed May 8, 2026, 3:31 a.m.
Created at: April 27, 2026, 2:42 p.m.