Triple

T12966919
Position Surface form Disambiguated ID Type / Status
Subject Muskogee County E321284 entity
Predicate hasBorderWith P224 FINISHED
Object Sequoyah County E754394 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: Sequoyah County | Statement: [Muskogee County, hasBorderWith, Sequoyah County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sequoyah County
Context triple: [Muskogee County, hasBorderWith, Sequoyah County]
  • A. Sequoyah County chosen
    Sequoyah County is a county in eastern Oklahoma known for its historical ties to the Cherokee Nation and its location along the Arkansas River near the Arkansas state line.
  • B. Chickasaw County
    Chickasaw County is a county in northeastern Iowa known for its rural communities, agriculture, and small towns such as Fredericksburg.
  • 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. Blaine County
    Blaine County is a county in central Idaho known for encompassing the resort city of Sun Valley and its surrounding mountainous, outdoor recreation areas.
  • E. Blaine County
    Blaine County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a1ee5d08190ace265c5f15d8d30 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 8:30 p.m.