Triple

T10257470
Position Surface form Disambiguated ID Type / Status
Subject Boise National Forest E240509 entity
Predicate locatedIn P40 FINISHED
Object Elmore County E776914 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: Elmore County | Statement: [Boise National Forest, locatedIn, Elmore County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmore County
Context triple: [Boise National Forest, locatedIn, Elmore County]
  • A. Elmore County
    Elmore County is a county in central Alabama known for its mix of suburban communities, rural areas, and proximity to the Montgomery metropolitan region.
  • B. Elmore County chosen
    Elmore County is a largely rural county in Idaho known for its agricultural lands, mountain landscapes, and the presence of Mountain Home Air Force Base.
  • C. Wheeler County
    Wheeler County is a rural county in the eastern Texas Panhandle known for its ranching, agriculture, and small-town communities.
  • D. Wheeler County
    Wheeler County is a rural county in central Georgia known for its small population, agricultural landscape, and location along the Oconee River.
  • E. Blaine County
    Blaine County is a county in central Idaho known for encompassing the resort city of Sun Valley and its surrounding mountainous, outdoor recreation areas.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24de4588190b68fb3daa36dbd7d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94aec37288190bd9060ba39ec4df2 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:31 a.m.