Triple

T1419040
Position Surface form Disambiguated ID Type / Status
Subject Herkimer County E31982 entity
Predicate hasTown P847 FINISHED
Object Frankfort (town) E162758 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: Frankfort (town) | Statement: [Herkimer County, hasTown, Frankfort (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfort (town)
Context triple: [Herkimer County, hasTown, Frankfort (town)]
  • A. Frankfort, Kentucky
    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. Fort Thomas, Kentucky
    Fort Thomas, Kentucky is a suburban city in northern Kentucky, just south of Cincinnati, known for its historic military fort roots and residential character.
  • C. Harrodsburg, Kentucky
    Harrodsburg, Kentucky is a historic small city recognized as the oldest permanent English settlement west of the Allegheny Mountains and a key community in central Kentucky.
  • D. Frankfort chosen
    Frankfort is a small village located in Herkimer County in central New York State.
  • E. Elizabethtown, Kentucky
    Elizabethtown, Kentucky is a small city in central Kentucky that serves as a regional hub for commerce, transportation, and services.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40631e881909ddf81a2eb84af1c completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015f5ad08190aaa0d1063432af2b completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.