Triple

T20532271
Position Surface form Disambiguated ID Type / Status
Subject Idaho Panhandle E504097 entity
Predicate hasCounty P285 FINISHED
Object Latah 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: Latah County | Statement: [Idaho Panhandle, hasCounty, Latah County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latah County
Context triple: [Idaho Panhandle, hasCounty, 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 rural county in central Nebraska known for its agricultural landscape and small communities.
  • C. 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.
  • D. Blaine County
    Blaine County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • 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 (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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06c709881908ef0995426a58759 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.