Triple

T10218466
Position Surface form Disambiguated ID Type / Status
Subject Range Regional Airport E242509 entity
Predicate supportsCommercialService P80333 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: [Range Regional Airport, supportsCommercialService, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCommercialService
Context triple: [Range Regional Airport, supportsCommercialService, yes]
  • A. hasSupportService
    Indicates that one entity provides or is associated with a support-related service for another entity.
  • B. supportsScheduledCommercialService
    Indicates that the subject provides facilities or conditions that allow regularly scheduled commercial services (such as flights, trips, or operations) to be conducted there.
  • C. supportsBusiness
    Indicates that one entity provides assistance, resources, or services that help another entity operate, grow, or succeed in its business activities.
  • D. supportsCommercialFlights chosen
    Indicates that the subject provides the necessary facilities, services, or conditions for regular commercial passenger or cargo flights to operate.
  • E. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa6fcf6c81908a589585bbd48ab8 completed April 6, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69d3955f61f88190b8d37ff645cd44d3 completed April 6, 2026, 11:13 a.m.
Created at: April 6, 2026, 11:07 a.m.