Triple

T12114572
Position Surface form Disambiguated ID Type / Status
Subject EvergreenHealth Kirkland E288522 entity
Predicate locatedIn P40 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: [EvergreenHealth Kirkland, locatedIn, Kirkland, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkland, Washington
Context triple: [EvergreenHealth Kirkland, locatedIn, 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. Bellevue, Washington
    Bellevue, Washington is a rapidly growing city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and high quality of life.
  • E. 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.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0cf61108190a15ab76454fc0d75 completed May 3, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:49 p.m.