Triple

T35592756
Position Surface form Disambiguated ID Type / Status
Subject Çavuş E1028545 entity
Predicate approximateNATOequivalent P6062 FINISHED
Object OR-5 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: OR-5 | Statement: [Çavuş, approximateNATOequivalent, OR-5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateNATOequivalent
Context triple: [Çavuş, approximateNATOequivalent, OR-5]
  • A. militaryEquivalence
    Indicates that two or more entities possess comparable military capabilities, strength, or strategic power such that neither holds a clear military advantage over the other.
  • B. natoEquivalent
    Indicates that one entity is the counterpart or functional equivalent of another within the NATO (North Atlantic Treaty Organization) framework.
  • C. NATOcode chosen
    Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
  • D. associatedWithNATO
    Indicates a relationship in which an entity has a formal or recognized connection, affiliation, or involvement with NATO.
  • 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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff63e6b61081909c648bf0ff279481 completed May 9, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69ff6381867881908ae0545df4b71df5 completed May 9, 2026, 4:40 p.m.
Created at: May 3, 2026, 4:05 p.m.