Triple

T2465340
Position Surface form Disambiguated ID Type / Status
Subject Paris, Kentucky E55233 entity
Predicate region P40 FINISHED
Object Central Kentucky E8203 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: Central Kentucky | Statement: [Paris, Kentucky, region, Central Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Kentucky
Context triple: [Paris, Kentucky, region, Central Kentucky]
  • A. Central Kentucky chosen
    Central Kentucky is a region in the middle of the U.S. state of Kentucky known for its rolling bluegrass landscapes, horse farms, and historic small towns.
  • B. Northern Kentucky
    Northern Kentucky is a region of Kentucky located just south of Cincinnati, known for its close economic and cultural ties to the Greater Cincinnati metropolitan area.
  • C. south-central Kentucky
    South-central Kentucky is a geographic region of Kentucky known for its rolling hills, cave systems, and the city of Bowling Green as its principal urban center.
  • D. Western Kentucky
    Western Kentucky is a region of Kentucky known for its riverfront cities, agricultural landscapes, and proximity to the confluence of the Ohio and Mississippi Rivers.
  • E. Southern Indiana
    Southern Indiana is a region of the U.S. state of Indiana known for its rolling hills, forests, and historic small towns.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1799b530819095d828c9d4a9dc9c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.