Triple

T629213
Position Surface form Disambiguated ID Type / Status
Subject Endeavor Air E15887 entity
Predicate safetyRegulation P14058 FINISHED
Object Part 121 air carrier operations 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: Part 121 air carrier operations | Statement: [Endeavor Air, safetyRegulation, Part 121 air carrier operations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRegulation
Context triple: [Endeavor Air, safetyRegulation, Part 121 air carrier operations]
  • A. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • B. worksOnRegulationType
    Indicates that an entity is involved in work or activities related to a specific type or category of regulation.
  • C. environmentalRegulation
    Indicates that one entity imposes rules, standards, or restrictions on another entity’s activities to protect or manage the natural environment.
  • D. legalRequirement
    Indicates that one entity is obligated by law to perform, provide, or comply with something in relation to another entity or situation.
  • E. regulatoryType chosen
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e5b5a308190a62165f9275e2f5f completed March 1, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69a49d01b29081908be87e4cd7726ff1 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.