Triple

T280891
Position Surface form Disambiguated ID Type / Status
Subject Delta Premium Select E5350 entity
Predicate aircraftTypeCoverage P1524 FINISHED
Object selected Airbus widebody aircraft 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: selected Airbus widebody aircraft | Statement: [Delta Premium Select, aircraftTypeCoverage, selected Airbus widebody aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftTypeCoverage
Context triple: [Delta Premium Select, aircraftTypeCoverage, selected Airbus widebody aircraft]
  • A. aircraftType chosen
    Indicates the specific model or category of aircraft associated with an entity or event.
  • B. aircraftTypesCarried
    Indicates that one entity (typically a vessel, facility, or platform) carries or is capable of carrying specific types of aircraft as part of its operations or configuration.
  • C. aircraftConfiguration
    Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
  • D. cockpitType
    Indicates the specific configuration or style of cockpit associated with an entity (e.g., vehicle or aircraft).
  • E. flightRegime
    Indicates the operational conditions or phase of flight under which an aircraft or aerospace vehicle is functioning (e.g., speed, altitude, and atmospheric regime).
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e0868708190ad551ca06cc57f4a completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b77e028819087e606fc321219f7 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.