Triple

T12517345
Position Surface form Disambiguated ID Type / Status
Subject Owasso E299221 entity
Predicate locatedIn P40 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: [Owasso, locatedIn, Rogers County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogers County
Context triple: [Owasso, locatedIn, 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac3ebd08190beb13fa00331f27b completed May 3, 2026, 6:27 a.m.
Created at: April 8, 2026, 9:57 p.m.