Triple

T21370446
Position Surface form Disambiguated ID Type / Status
Subject Totem Lake E527040 entity
Predicate locatedIn P40 FINISHED
Object Kirkland, Washington NE NERFINISHED

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: [Totem Lake, locatedIn, Kirkland, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkland, Washington
Context triple: [Totem Lake, locatedIn, Kirkland, Washington]
  • A. Kirkland
    Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
  • B. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • C. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0adbbc081908ed4d839f7cf8f38 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.