Triple

T23537593
Position Surface form Disambiguated ID Type / Status
Subject Broken Arrow E577642 entity
Predicate county P75 FINISHED
Object Wagoner 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: Wagoner County | Statement: [Broken Arrow, county, Wagoner County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagoner County
Context triple: [Broken Arrow, county, Wagoner County]
  • A. Wagoner County chosen
    Wagoner County is a county in northeastern Oklahoma that includes part of the city of Broken Arrow and is part of the Tulsa metropolitan area.
  • B. Pontotoc County
    Pontotoc County is a county in south-central Oklahoma known for its seat in Ada and a mix of agricultural, industrial, and tribal community influences.
  • C. Garvin County
    Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
  • D. Grainger County
    Grainger County is a rural county in eastern Tennessee known for its agricultural heritage, especially its famous Grainger County tomatoes.
  • E. Bonner County
    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.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1831688190ac06b84729bce160 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.