Triple

T21344664
Position Surface form Disambiguated ID Type / Status
Subject Holmes County, Ohio E526298 entity
Predicate hasCountySeat P383 FINISHED
Object Millersburg, Ohio 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: Millersburg, Ohio | Statement: [Holmes County, Ohio, hasCountySeat, Millersburg, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millersburg, Ohio
Context triple: [Holmes County, Ohio, hasCountySeat, Millersburg, Ohio]
  • A. Millersburg, Ohio chosen
    Millersburg, Ohio is a small village in Holmes County known as a center of Ohio’s Amish Country and the county’s administrative seat.
  • B. Martinsburg, Ohio
    Martinsburg, Ohio is a small village located in Knox County in the central part of the state.
  • C. Millersport, Ohio
    Millersport, Ohio is a small village in central Ohio known for its close-knit community and annual Sweet Corn Festival.
  • D. Jeromesville, Ohio
    Jeromesville, Ohio is a small village located in north-central Ohio that is part of the Ashland County region.
  • E. Mechanicsburg, Ohio
    Mechanicsburg, Ohio is a small village in central Ohio known for its rural community character and location within Champaign County.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a853e50c81909f8854eadf053049 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:53 p.m.