Triple

T36021649
Position Surface form Disambiguated ID Type / Status
Subject DBR-1 E1042003 entity
Predicate refersToAircraftType P1524 FINISHED
Object unmanned reconnaissance aircraft 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: unmanned reconnaissance aircraft | Statement: [DBR-1, refersToAircraftType, unmanned reconnaissance aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refersToAircraftType
Context triple: [DBR-1, refersToAircraftType, unmanned reconnaissance aircraft]
  • A. aircraftType chosen
    Indicates the specific model or category of aircraft associated with an entity or event.
  • B. referredAircraftUsedFor
    Indicates that the referenced aircraft is utilized for a particular purpose, role, or operation in relation to another entity or context.
  • C. referredAircraftUsedIn
    Indicates that an aircraft being referred to is the one that was actually used in a particular event, operation, or context.
  • D. usedByAircraftType
    Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
  • E. aircraftTypesUsedOn
    Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, 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_69f76e2c568881909e1e21f85252b0f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe991bca608190b524e419642f4243 completed May 9, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69fe979fc1c4819091fc48d63ea12063 completed May 9, 2026, 2:10 a.m.
Created at: May 3, 2026, 4:07 p.m.