Triple

T5468663
Position Surface form Disambiguated ID Type / Status
Subject North Idaho E122775 entity
Predicate contains P35 FINISHED
Object Latah County E151865 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: Latah County | Statement: [North Idaho, contains, Latah County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latah County
Context triple: [North Idaho, contains, Latah County]
  • A. Latah County chosen
    Latah County is a county in north-central Idaho known for its agricultural landscape and as home to the University of Idaho in the city of Moscow.
  • B. Sherman County
    Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
  • C. 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.
  • D. Blaine County
    Blaine County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • E. Dewey County
    Dewey County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92198ea08190a08357f3756572a2 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc60964c08190bcb128946e121bc9 completed March 22, 2026, 10:35 a.m.
Created at: March 20, 2026, 2:09 p.m.