Triple

T19571564
Position Surface form Disambiguated ID Type / Status
Subject La Crosse, Washington E489728 entity
Predicate county P75 FINISHED
Object Whitman County NE NERFINISHED

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: Whitman County | Statement: [La Crosse, Washington, county, Whitman County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitman County
Context triple: [La Crosse, Washington, county, Whitman County]
  • A. Whitman County chosen
    Whitman County is a largely rural county in southeastern Washington State known for its agricultural economy and the presence of Washington State University in Pullman.
  • B. Benton County
    Benton County is a county-level jurisdiction in the United States, known for sharing its name with multiple counties across different states, including Oregon, Washington, and Arkansas.
  • C. Spokane County
    Spokane County is a populous county in eastern Washington State centered on the city of Spokane, serving as a major economic and cultural hub of the Inland Northwest region.
  • D. Grant County
    Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
  • E. Grant County
    Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.