Triple

T8694009
Position Surface form Disambiguated ID Type / Status
Subject NSE E206359 entity
Predicate hasHelicopterTraining P60836 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: [NSE, hasHelicopterTraining, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHelicopterTraining
Context triple: [NSE, hasHelicopterTraining, true]
  • A. hasHelicopterTrainingRole
    Indicates that an entity holds a role or position specifically related to the training or instruction of helicopter operations.
  • B. isHelicopterOf
    Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
  • C. hasFixedWingTrainingRole
    Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
  • D. canOperateHelicopterType
    Indicates that one entity has the ability, qualification, or authorization to operate or pilot a specified type of helicopter.
  • E. hasFlightTrainingActivity chosen
    Indicates that an entity is involved in or associated with a flight training activity.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5826bbb48190a212fb1bb06e05e6 completed March 31, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69cc4569f9048190b9c86b4c81103d35 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:33 p.m.