Triple

T17374660
Position Surface form Disambiguated ID Type / Status
Subject Sandpoint, Idaho E422404 entity
Predicate county P75 FINISHED
Object Bonner 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: Bonner County | Statement: [Sandpoint, Idaho, county, Bonner County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonner County
Context triple: [Sandpoint, Idaho, county, Bonner County]
  • A. Bonner County chosen
    Bonner County is a largely rural county in northern Idaho known for its forests, lakes, and outdoor recreation areas, including parts of Lake Pend Oreille and the Selkirk Mountains.
  • B. Sumner County
    Sumner County is a county in northern Middle Tennessee, known for its suburban communities, historic sites, and proximity to the Nashville metropolitan area.
  • C. Cannon County
    Cannon County is a small, rural county in Middle Tennessee known for its agricultural heritage and close-knit communities.
  • D. Lin County
    Lin County is a county-level administrative region under the jurisdiction of Lüliang City in Shanxi Province, northern China.
  • E. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6b71148190bb10e1fac400d6c3 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.