Triple

T27460076
Position Surface form Disambiguated ID Type / Status
Subject Garden City Regional Airport E692710 entity
Predicate offersCommercialService P105471 FINISHED
Object yes 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: yes | Statement: [Garden City Regional Airport, offersCommercialService, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersCommercialService
Context triple: [Garden City Regional Airport, offersCommercialService, yes]
  • A. offersServiceOn
    Indicates that one entity provides or makes a service available on, during, or through another entity (such as a platform, date, or location).
  • B. offersServiceTo
    Indicates that one entity provides or makes a service available for the benefit or use of another entity.
  • C. offersServiceIn
    Indicates that a provider makes a particular service available within a specified location or jurisdiction.
  • D. offersLimitedServiceOn
    Indicates that one entity provides a restricted, partial, or reduced version of a service to another entity, rather than full or regular service.
  • E. hasCommercialServices chosen
    Indicates that one entity provides or offers commercial services to another entity or within a specified context.
  • 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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f74062b9388190b30546cf700a825c completed May 3, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69f73c802b848190b61a416b7488bd96 completed May 3, 2026, 12:16 p.m.
Created at: April 27, 2026, 12:49 p.m.