Triple

T12458288
Position Surface form Disambiguated ID Type / Status
Subject Woodinville E297717 entity
Predicate nearCity P350 FINISHED
Object Bothell E273620 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: Bothell | Statement: [Woodinville, nearCity, Bothell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bothell
Context triple: [Woodinville, nearCity, Bothell]
  • A. Bothell chosen
    Bothell is a suburban city in the Seattle metropolitan area of Washington State, known for its residential communities, parks, and proximity to major tech and biotech hubs.
  • 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. Lynnwood
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • E. Woodinville
    Woodinville is a small city in King County, Washington, best known for its wineries, breweries, and scenic Sammamish River Valley setting.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba170908190b7b52ba3e725ea5e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.