Triple

T13534245
Position Surface form Disambiguated ID Type / Status
Subject Licking County, Ohio E323218 entity
Predicate contains P35 FINISHED
Object Kirkersville, Ohio E870165 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: Kirkersville, Ohio | Statement: [Licking County, Ohio, contains, Kirkersville, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkersville, Ohio
Context triple: [Licking County, Ohio, contains, Kirkersville, Ohio]
  • A. Kirkersville, Ohio chosen
    Kirkersville, Ohio is a small village in Licking County that lies east of Columbus and serves as a rural residential community with access to regional transportation routes.
  • B. Washingtonville, Ohio
    Washingtonville, Ohio is a small village located in Columbiana County in the eastern part of the state.
  • C. Vickery, Ohio
    Vickery, Ohio is a small unincorporated rural community located in northern Ohio within Sandusky County.
  • D. Kettlersville, Ohio
    Kettlersville, Ohio is a small rural village located in western Ohio within Shelby County.
  • E. Fitchville, Ohio
    Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f84935c8190b9e41f44140066e5 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:44 p.m.