Triple

T5469572
Position Surface form Disambiguated ID Type / Status
Subject FEMA Region X E122796 entity
Predicate headquartersLocation P62 FINISHED
Object Bothell, Washington 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, Washington | Statement: [FEMA Region X, headquartersLocation, Bothell, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bothell, Washington
Context triple: [FEMA Region X, headquartersLocation, Bothell, Washington]
  • 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. Woodinville
    Woodinville is a small city in King County, Washington, best known for its wineries, breweries, and scenic Sammamish River Valley setting.
  • D. Lakewood, Washington
    Lakewood, Washington is a suburban city in Pierce County known for its proximity to Joint Base Lewis–McChord, multiple lakes, and its role as part of the greater Tacoma metropolitan area.
  • E. Lynnwood
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921b65f48190af7fcf89140f9ba8 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77b59ef881909c5968194336b101 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 2:09 p.m.