Triple

T18612767
Position Surface form Disambiguated ID Type / Status
Subject Muhlenberg County, Kentucky E454939 entity
Predicate hasCity P316 FINISHED
Object Greenville, Kentucky 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: Greenville, Kentucky | Statement: [Muhlenberg County, Kentucky, hasCity, Greenville, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenville, Kentucky
Context triple: [Muhlenberg County, Kentucky, hasCity, Greenville, Kentucky]
  • A. Greenville, Kentucky chosen
    Greenville, Kentucky is a small historic city in western Kentucky known as the cultural and commercial hub of Muhlenberg County.
  • B. Greensburg, Kentucky
    Greensburg, Kentucky is a small historic city in central Kentucky that serves as the county seat of Green County.
  • C. Brownsville, Kentucky
    Brownsville, Kentucky is a small city that serves as the county seat of Edmonson County and a gateway to nearby Mammoth Cave National Park.
  • D. Georgetown, Kentucky
    Georgetown, Kentucky is a growing small city in Scott County known for its historic downtown, proximity to Lexington, and major Toyota manufacturing plant.
  • E. Calhoun, Kentucky
    Calhoun, Kentucky is a small city in McLean County that serves as the county seat and lies along the Green River in western Kentucky.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d030d488190a992d10d3d28b4ad completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.