Triple

T11285594
Position Surface form Disambiguated ID Type / Status
Subject Kenmore, Washington E267177 entity
Predicate locatedNear P294 FINISHED
Object Kirkland, Washington E55629 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: Kirkland, Washington | Statement: [Kenmore, Washington, locatedNear, Kirkland, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkland, Washington
Context triple: [Kenmore, Washington, locatedNear, Kirkland, Washington]
  • A. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • B. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • C. Kirkland, Washington, United States chosen
    Kirkland, Washington, United States is a suburban city on the eastern shore of Lake Washington near Seattle, known for its waterfront parks, tech industry presence, and association with Costco’s “Kirkland Signature” brand.
  • D. Edmonds, Washington
    Edmonds, Washington is a coastal city in Snohomish County known for its Puget Sound waterfront, ferry terminal, and role as a commuter hub north of Seattle.
  • E. Tacoma, Washington
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f165cc34608190b6a00aa120199eff completed April 29, 2026, 1:58 a.m.
Created at: April 8, 2026, 9:31 p.m.