Triple

T25218900
Position Surface form Disambiguated ID Type / Status
Subject 9M38 E631905 entity
Predicate usedWithRadar P132889 FINISHED
Object Buk target acquisition radar 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: Buk target acquisition radar | Statement: [9M38, usedWithRadar, Buk target acquisition radar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedWithRadar
Context triple: [9M38, usedWithRadar, Buk target acquisition radar]
  • A. associatedRadar chosen
    Indicates that one entity is linked or connected to a specific radar system or radar-related resource.
  • B. hasRadarServices
    Indicates that one entity provides or is equipped with radar-based services or capabilities for another entity or context.
  • C. hasRadarControlRole
    Indicates that an entity holds a role or responsibility related to managing or controlling radar operations.
  • D. radarType
    Indicates the specific category or classification of radar associated with an entity.
  • E. radarEquipped
    Indicates that an entity is equipped with or has access to radar detection equipment or radar-based sensing capability.
  • 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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47b907f6081908c6c0e33f4cae736 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f44d849e7c81909945438f40e35362 completed May 1, 2026, 6:51 a.m.
Created at: April 21, 2026, 12:59 p.m.