Triple

T20093493
Position Surface form Disambiguated ID Type / Status
Subject Mount Vernon, Ohio E496335 entity
Predicate locatedNear P294 FINISHED
Object Gambier, Ohio E524384 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: Gambier, Ohio | Statement: [Mount Vernon, Ohio, locatedNear, Gambier, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gambier, Ohio
Context triple: [Mount Vernon, Ohio, locatedNear, Gambier, Ohio]
  • A. Gambier, Ohio chosen
    Gambier, Ohio is a small village in central Ohio best known as the home of the liberal arts institution Kenyon College.
  • B. Jewett, Ohio
    Jewett, Ohio is a small village located in Harrison County in the eastern part of the state, historically tied to coal mining and regional railroads.
  • C. Bergholz, Ohio
    Bergholz, Ohio is a small village in eastern Ohio known for its rural character and location within Jefferson County.
  • D. Waterville, Ohio
    Waterville, Ohio is a small city in northwest Ohio situated along the Maumee River, known for its historic downtown and proximity to the Toledo metropolitan area.
  • E. Bolivar, Ohio
    Bolivar, Ohio is a small village in northeastern Ohio known for its historic canal-era heritage and proximity to Fort Laurens, the state's only Revolutionary War fort.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666a7a94819080ebabfba9762f97 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae6f0d248190936225ed66dd0553 completed May 19, 2026, 12:27 a.m.
Created at: April 11, 2026, 11:23 p.m.