Triple

T38532758
Position Surface form Disambiguated ID Type / Status
Subject Russian Federation military ranks E923410 entity
Predicate topAirForceRank P95916 FINISHED
Object General of the Army 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: General of the Army | Statement: [Russian Federation military ranks, topAirForceRank, General of the Army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topAirForceRank
Context triple: [Russian Federation military ranks, topAirForceRank, General of the Army]
  • A. airCommanderRank
    Indicates that one entity holds the rank or position of air commander relative to another entity (such as a force, unit, or operation).
  • B. equivalentAirForceRank chosen
    Indicates that two military positions or titles correspond to the same rank level within different air forces.
  • C. equivalentRankInUSAF
    Indicates that two military ranks are considered equivalent in status or grade within the United States Air Force.
  • D. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • E. airForceEquivalent
    Indicates that one military unit, rank, or asset is the corresponding or analogous counterpart within an air force to another entity in a different branch or context.
  • 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_69f76ea8f6348190a5c03fb6292bbee3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:32 p.m.