Triple

T21370451
Position Surface form Disambiguated ID Type / Status
Subject Totem Lake E527040 entity
Predicate partOf P40 FINISHED
Object City of Kirkland 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: City of Kirkland | Statement: [Totem Lake, partOf, City of Kirkland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kirkland
Context triple: [Totem Lake, partOf, City of Kirkland]
  • A. City of Kirkland chosen
    The City of Kirkland is a suburban city on the eastern shore of Lake Washington near Seattle, known for its waterfront parks, vibrant downtown, and residential neighborhoods like Juanita.
  • B. City of Issaquah
    The City of Issaquah is a suburban community in King County, Washington, nestled between the Issaquah Alps and Lake Sammamish and known for its outdoor recreation and rapid growth.
  • C. City of Redmond
    The City of Redmond is a municipal government in Washington State best known as the home of Microsoft and for its vibrant community events and parks.
  • D. 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.
  • E. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • 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.