Triple

T25504318
Position Surface form Disambiguated ID Type / Status
Subject British Commonwealth Air Training Plan E639206 entity
Predicate trainedPersonnel P40765 FINISHED
Object pilots 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: pilots | Statement: [British Commonwealth Air Training Plan, trainedPersonnel, pilots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainedPersonnel
Context triple: [British Commonwealth Air Training Plan, trainedPersonnel, pilots]
  • A. trainedAs
    Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
  • B. authorizedPersonnel
    Indicates that the referenced entity is officially permitted or empowered to access, use, or perform actions within a specified system, resource, or context.
  • C. providesTrainingFor chosen
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • D. personnel
    Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
  • E. peakPersonnel
    Indicates the maximum number of personnel involved or present at any point during a specified period or 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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f804c9f48190be4e560a60ee6242 completed May 2, 2026, 1:11 p.m.
PD Predicate disambiguation batch_69f4a0f7c6008190ae8cee3e71e19b94 completed May 1, 2026, 12:47 p.m.
Created at: April 21, 2026, 2:46 p.m.