Triple

T25563202
Position Surface form Disambiguated ID Type / Status
Subject NATO E640768 entity
Predicate usesMilitaryCapability P159748 FINISHED
Object air power 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: air power | Statement: [NATO, usesMilitaryCapability, air power]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMilitaryCapability
Context triple: [NATO, usesMilitaryCapability, air power]
  • A. militaryCapabilityInvolved chosen
    Indicates that a military capability (such as forces, equipment, or operational assets) participates in or is implicated in a specific event, activity, or situation.
  • B. warfareCapability
    Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
  • C. militaryUse
    Indicates the use of something (such as land, facilities, equipment, or resources) for military purposes or operations.
  • D. weaponCapability
    Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
  • E. usesMilitarySystemSimilarTo
    Indicates that one entity employs a military system that is comparable in structure, doctrine, or operational methods to that of another 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_69e75dc1beb08190bac7d76b8d6e7bc4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f627aedf548190bc9f53c8a2d67b50 completed May 2, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
Created at: April 21, 2026, 3:47 p.m.