Triple

T10522230
Position Surface form Disambiguated ID Type / Status
Subject Tulsa metropolitan area E248202 entity
Predicate includesCounty P5971 FINISHED
Object Rogers County E392056 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: Rogers County | Statement: [Tulsa metropolitan area, includesCounty, Rogers County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogers County
Context triple: [Tulsa metropolitan area, includesCounty, Rogers County]
  • A. Rogers County chosen
    Rogers County is a county in northeastern Oklahoma known for its county seat of Claremore and its mix of suburban communities and rural landscapes.
  • B. Creek County
    Creek County is a county in northeastern Oklahoma, known for its mix of small towns, rural landscapes, and proximity to the Tulsa metropolitan area.
  • C. Stephens County
    Stephens County is a county in northeastern Georgia, United States, known for its location in the Appalachian foothills and its seat, the city of Toccoa.
  • D. Ringgold County
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • E. Treutlen County
    Treutlen County is a rural county in east-central Georgia, known for its small population, agricultural landscape, and county seat of Soperton.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e0907481908807dd99980cba1f completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b3d6f6c81908d8247da9d9caab2 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:29 p.m.