Triple

T2296251
Position Surface form Disambiguated ID Type / Status
Subject Redmond Municipal Airport E51620 entity
Predicate hasCommercialService P849 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: [Redmond Municipal Airport, hasCommercialService, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommercialService
Context triple: [Redmond Municipal Airport, hasCommercialService, yes]
  • A. hasCommercialFunction
    Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
  • B. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • C. hasServiceType chosen
    Indicates that an entity is associated with or categorized by a particular type of service.
  • D. hasDigitalService
    Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
  • E. serviceOf
    Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcd0e42248190ada33b84d75caa64 completed March 7, 2026, 7 a.m.
PD Predicate disambiguation batch_69abc589295c819092989820c2b4e9d8 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.