Triple

T12360763
Position Surface form Disambiguated ID Type / Status
Subject Town of Yarrow Point E294728 entity
Predicate neighboringMunicipality P17964 FINISHED
Object City of Kirkland E974554 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 Kirkland | Statement: [Town of Yarrow Point, neighboringMunicipality, City of Kirkland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kirkland
Context triple: [Town of Yarrow Point, neighboringMunicipality, 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 town located on the Island of Montreal in the Canadian province of Quebec.
  • E. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f90201481909359416b8b9f7871 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef437d08190b09132fa090504a5 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.