Triple

T22971210
Position Surface form Disambiguated ID Type / Status
Subject Beagle E571190 entity
Predicate roleOfSubjectAircraft P72991 FINISHED
Object tactical bomber 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: tactical bomber | Statement: [Beagle, roleOfSubjectAircraft, tactical bomber]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOfSubjectAircraft
Context triple: [Beagle, roleOfSubjectAircraft, tactical bomber]
  • A. testAircraftRole
    Indicates that an aircraft is assigned or evaluated for a specific operational role or function.
  • B. aircraftRoleRequired chosen
    Indicates that a specific operational role or function is required of an aircraft within a given context or mission.
  • C. aircraftRoleDuringFlight
    Indicates the specific function or role an aircraft fulfills while it is in flight.
  • D. referredAircraftRole
    Indicates that one aircraft is mentioned or designated in relation to another aircraft’s role, function, or status within a specific context or event.
  • E. poweredAircraftRole
    Indicates the functional role or purpose assigned to a powered (engine-driven) aircraft within an 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69ef3b9101f48190a06c69dff26c6441 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:48 p.m.