Triple

T17811677
Position Surface form Disambiguated ID Type / Status
Subject Elkhorn Creek E444721 entity
Predicate hasNearbyCity P350 FINISHED
Object Frankfort, 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: Frankfort, Kentucky | Statement: [Elkhorn Creek, hasNearbyCity, Frankfort, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfort, Kentucky
Context triple: [Elkhorn Creek, hasNearbyCity, Frankfort, Kentucky]
  • A. Frankfort, Kentucky chosen
    Frankfort, Kentucky is the small but historically significant capital city of the U.S. state of Kentucky, located along the Kentucky River in the central part of the state.
  • B. Frankfort
    Frankfort is a small village located in Herkimer County in central New York State.
  • C. Frankfort
    Frankfort is a suburban village in northeastern Illinois known for its historic downtown and residential communities within the Chicago metropolitan area.
  • D. Richmond, Kentucky
    Richmond, Kentucky is a city in central Kentucky known as the home of Eastern Kentucky University and a regional center for education, commerce, and healthcare.
  • E. Lexington, Kentucky
    Lexington, Kentucky is a major city in the Bluegrass region renowned as the "Horse Capital of the World" for its thoroughbred breeding and racing industry.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887b5e50819098506f0b92d709b5 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.