Triple

T13614188
Position Surface form Disambiguated ID Type / Status
Subject Fagot E325268 entity
Predicate aircraftPrimaryMission P2860 FINISHED
Object air superiority 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: air superiority | Statement: [Fagot, aircraftPrimaryMission, air superiority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftPrimaryMission
Context triple: [Fagot, aircraftPrimaryMission, air superiority]
  • A. primaryAircraftRole chosen
    Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
  • B. basedAircraftRole
    Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
  • C. aircraftRoleSpecialization
    Indicates that one aircraft role is a more specific, specialized form of another, more general aircraft role.
  • D. notableAircraftRole
    Indicates that an aircraft is notably associated with performing a particular role or function.
  • E. carriedAircraftRole
    Indicates the functional role or mission type that an aircraft serves when it is carried by another platform (such as a ship or larger aircraft).
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.