Triple

T1676891
Position Surface form Disambiguated ID Type / Status
Subject STANAG magazine E36250 entity
Predicate hasCaliber P6076 FINISHED
Object 5.56×45mm NATO 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: 5.56×45mm NATO | Statement: [STANAG magazine, hasCaliber, 5.56×45mm NATO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCaliber
Context triple: [STANAG magazine, hasCaliber, 5.56×45mm NATO]
  • A. gunCalibre chosen
    Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
  • B. hasChamber
    Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
  • C. hasChamberStructure
    Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
  • D. hasBarrelConfiguration
    Indicates a relationship where an object is characterized by or assigned a specific arrangement or configuration of its barrel or barrels.
  • E. ammunitionType
    Indicates the specific kind or category of ammunition associated with or used by an entity.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab272a653481908f48aa1eed5de8a4 completed March 6, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69aa61b2f6288190b2348ef7d7e4672d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.