Triple

T2296225
Position Surface form Disambiguated ID Type / Status
Subject Redmond Municipal Airport E51620 entity
Predicate operator P179 FINISHED
Object City of Redmond E214491 NE 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: City of Redmond | Statement: [Redmond Municipal Airport, operator, City of Redmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Redmond
Context triple: [Redmond Municipal Airport, operator, City of Redmond]
  • A. Redmond chosen
    Redmond is a growing city in Deschutes County, Oregon, known as a regional hub for transportation, outdoor recreation, and access to Central Oregon’s high desert and Cascade Mountains.
  • B. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • C. Medina, Washington
    Medina, Washington is an affluent suburban city on the eastern shore of Lake Washington, best known as the home of Bill Gates and other prominent tech figures.
  • D. Lynnwood
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • E. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8952322c81909d58b89139f51a27 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.