Triple

T18280804
Position Surface form Disambiguated ID Type / Status
Subject Spokane Veterans Memorial Arena E437857 entity
Predicate locatedIn P40 FINISHED
Object Spokane County, Washington, United States NE NERFINISHED

How this triple was built (3 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: Spokane County, Washington, United States | Statement: [Spokane Veterans Memorial Arena, locatedIn, Spokane County, Washington, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spokane County, Washington, United States
Context triple: [Spokane Veterans Memorial Arena, locatedIn, Spokane County, Washington, United States]
  • A. Whitman County, Washington
    Whitman County, Washington is a largely rural county in southeastern Washington State known for its agricultural economy and as the home of Washington State University in Pullman.
  • B. Douglas County, Washington
    Douglas County, Washington is a largely rural county in central Washington known for its agricultural production and location along the Columbia River, opposite the city of Wenatchee.
  • C. Walla Walla County, Washington
    Walla Walla County, Washington is an agricultural county in southeastern Washington State known for its wine production, wheat farming, and the city of Walla Walla.
  • D. Okanogan County, Washington
    Okanogan County, Washington is a large, sparsely populated county in north-central Washington known for its rugged mountains, extensive forests, and outdoor recreation opportunities.
  • E. Skamania County, Washington
    Skamania County, Washington is a largely rural county in southwestern Washington known for encompassing much of the Columbia River Gorge and Mount St. Helens National Volcanic Monument.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spokane County, Washington, United States
Target entity description: Spokane County, Washington, United States is an eastern Washington county centered on the city of Spokane, serving as a regional hub for commerce, healthcare, education, and transportation in the Inland Northwest.
  • A. Whitman County, Washington
    Whitman County, Washington is a largely rural county in southeastern Washington State known for its agricultural economy and as the home of Washington State University in Pullman.
  • B. Douglas County, Washington
    Douglas County, Washington is a largely rural county in central Washington known for its agricultural production and location along the Columbia River, opposite the city of Wenatchee.
  • C. Walla Walla County, Washington
    Walla Walla County, Washington is an agricultural county in southeastern Washington State known for its wine production, wheat farming, and the city of Walla Walla.
  • D. Okanogan County, Washington
    Okanogan County, Washington is a large, sparsely populated county in north-central Washington known for its rugged mountains, extensive forests, and outdoor recreation opportunities.
  • E. Skamania County, Washington
    Skamania County, Washington is a largely rural county in southwestern Washington known for encompassing much of the Columbia River Gorge and Mount St. Helens National Volcanic Monument.
  • F. None of above. chosen

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50055d2b88190a10199771f64c4b9 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:35 a.m.