Triple

T23067119
Position Surface form Disambiguated ID Type / Status
Subject Okay, Oklahoma, United States E575075 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: [Okay, Oklahoma, United States, county, Wagoner County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagoner County
Context triple: [Okay, Oklahoma, United States, 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. 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.
  • C. Grainger County
    Grainger County is a rural county in eastern Tennessee known for its agricultural heritage, especially its famous Grainger County tomatoes.
  • D. 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.
  • E. Chickasaw County
    Chickasaw County is a county in northeastern Iowa known for its rural communities, agriculture, and small towns such as Fredericksburg.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.