Triple

T15938759
Position Surface form Disambiguated ID Type / Status
Subject T-38 Talon E386504 entity
Predicate roleInTrainingPipeline P41566 FINISHED
Object advanced phase of Undergraduate Pilot Training 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: advanced phase of Undergraduate Pilot Training | Statement: [T-38 Talon, roleInTrainingPipeline, advanced phase of Undergraduate Pilot Training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInTrainingPipeline
Context triple: [T-38 Talon, roleInTrainingPipeline, advanced phase of Undergraduate Pilot Training]
  • A. roleInTrain
    Indicates the specific function or position an entity holds within the context of a train (e.g., passenger, conductor, locomotive, or car type).
  • B. hasTrainingRole chosen
    Indicates that an entity holds or is assigned a specific role within a training or instructional context.
  • C. hasTrainingPipelineFrom
    Indicates that something is produced or derived as the result of a specified training pipeline or process.
  • D. roleInToolchain
    Indicates that an entity serves a specific function or position within a larger sequence of tools or processes in a toolchain.
  • E. talentPipelineRole
    Indicates a role that an entity holds or plays within a talent acquisition or development pipeline.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d37cd88190ab50760f1783e20c completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:53 a.m.