Triple

T17411934
Position Surface form Disambiguated ID Type / Status
Subject Thornville, Ohio E423386 entity
Predicate subdivisionName2 P766 FINISHED
Object Perry County 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: Perry County | Statement: [Thornville, Ohio, subdivisionName2, Perry County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perry County
Context triple: [Thornville, Ohio, subdivisionName2, Perry County]
  • A. Perry County
    Perry County is a rural county in central Alabama known for its historic role in the civil rights movement and its predominantly agricultural landscape.
  • B. Perry County chosen
    Perry County is a rural county in southern Indiana known for its Ohio River frontage, forested hills, and small-town communities.
  • C. Pike County
    Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
  • D. Pike County
    Pike County is a county in west-central Georgia, United States, known for its rural character and location within the Atlanta metropolitan area’s broader region.
  • E. Pike County
    Pike County is a rural county in northeastern Pennsylvania known for its forests, rivers, and location along the Delaware River near the New York and New Jersey borders.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0b56788190ba012788f32afb78 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.