Triple

T2420356
Position Surface form Disambiguated ID Type / Status
Subject Kirkland, Washington E53403 entity
Predicate adjacentTo P224 FINISHED
Object Bothell, Washington E180134 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, Washington | Statement: [Kirkland, Washington, adjacentTo, Bothell, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bothell, Washington
Context triple: [Kirkland, Washington, adjacentTo, Bothell, Washington]
  • A. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • B. Lynnwood
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • C. Lake Forest Park, Washington chosen
    Lake Forest Park, Washington is a small, primarily residential suburban city in King County, located just north of Seattle.
  • D. Federal Way
    Federal Way is a suburban city in Washington State located between Seattle and Tacoma, known for its residential communities, parks, and proximity to Puget Sound.
  • E. Redmond
    Redmond is a growing city in Deschutes County, Oregon, known as a regional hub for transportation, outdoor recreation, and access to Central Oregon’s high desert and Cascade Mountains.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a299648190a55e9f2c47bd307f completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:42 p.m.