Triple

T22606011
Position Surface form Disambiguated ID Type / Status
Subject Caddo, Oklahoma E566558 entity
Predicate county P75 FINISHED
Object Bryan 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: Bryan County | Statement: [Caddo, Oklahoma, county, Bryan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan County
Context triple: [Caddo, Oklahoma, county, Bryan County]
  • A. Bryan County
    Bryan County is a coastal county in southeastern Georgia known for its proximity to Savannah and a mix of rural communities and growing suburban areas.
  • B. Bryan County chosen
    Bryan County is a county in southeastern Oklahoma known for its county seat, Durant, and its mix of small-town communities, agriculture, and regional commerce.
  • C. Choctaw County
    Choctaw County is a rural county in southwestern Alabama known for its pine forests, timber industry, and small, close-knit communities.
  • D. Wilkinson County
    Wilkinson County is a rural county in southwestern Mississippi known for its historic communities, including the county seat of Woodville, and its location along the Mississippi–Louisiana border.
  • E. Wilkinson County
    Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:54 p.m.