Triple

T34811231
Position Surface form Disambiguated ID Type / Status
Subject Gustaf III Airport E1003502 entity
Predicate requiresSpecialPilotTraining P48201 FINISHED
Object true 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: true | Statement: [Gustaf III Airport, requiresSpecialPilotTraining, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresSpecialPilotTraining
Context triple: [Gustaf III Airport, requiresSpecialPilotTraining, true]
  • A. pilotRequirement chosen
    Indicates that a certain condition, qualification, or resource is required in order for a pilot to operate or perform a specified activity.
  • B. requiresETOPS
    Indicates that one entity can only operate, proceed, or be valid if Extended-range Twin-engine Operational Performance Standards (ETOPS) certification or compliance is in place for the associated aircraft, route, or operation.
  • C. usedByPilotsOf
    Indicates that something is utilized or operated by pilots belonging to a particular aircraft, organization, or group.
  • D. aircraftRoleRequired
    Indicates that a specific operational role or function is required of an aircraft within a given context or mission.
  • E. aircraftRoleTrained
    Indicates that an entity has been trained or qualified to perform a specific role or function on a particular type of 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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff7fc835f08190afd1f8129b7a62a2 completed May 9, 2026, 6:41 p.m.
PD Predicate disambiguation batch_69ff7f2e99ac8190ba372a1358a05a30 completed May 9, 2026, 6:38 p.m.
Created at: May 3, 2026, 3:59 p.m.