Triple

T306974
Position Surface form Disambiguated ID Type / Status
Subject Puget Sound region E6324 entity
Predicate hasCounty P285 FINISHED
Object King County E27030 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: King County | Statement: [Puget Sound region, hasCounty, King County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King County
Context triple: [Puget Sound region, hasCounty, King County]
  • A. King County chosen
    King County is a populous county in the U.S. state of Washington that includes Seattle as its largest city and economic center.
  • B. Clark County, Washington
    Clark County, Washington is a county in southwestern Washington State, part of the Portland metropolitan area, with Vancouver as its largest city.
  • C. Thurston County, Washington
    Thurston County, Washington is a county in the western part of the state that includes the capital city of Olympia and a mix of urban, suburban, and rural communities along southern Puget Sound.
  • D. King County Metro
    King County Metro is the primary public transit agency serving Seattle and the surrounding King County area, operating an extensive network of buses, rapid transit, and related services.
  • E. Jefferson County, Washington
    Jefferson County, Washington is a largely rural county on the Olympic Peninsula known for its rugged Pacific coastline, forests, and inclusion of parts of Olympic National Park.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea313be88190b4441f3ea41a99e2 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4176f80488190bbee9a442a6a7076 completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.