Triple

T17411930
Position Surface form Disambiguated ID Type / Status
Subject Thornville, Ohio E423386 entity
Predicate subdivisionName P747 FINISHED
Object Thornville 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: Thornville | Statement: [Thornville, Ohio, subdivisionName, Thornville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thornville
Context triple: [Thornville, Ohio, subdivisionName, Thornville]
  • A. Thornville, Ohio chosen
    Thornville, Ohio is a small village in Perry County known for its rural character and proximity to Buckeye Lake in central Ohio.
  • B. Whitestown
    Whitestown is a rapidly growing suburban town in Boone County, Indiana, located northwest of downtown Indianapolis within the greater Indianapolis metropolitan region.
  • C. Juneautown
    Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
  • D. Eggertsville
    Eggertsville is a suburban neighborhood in the town of Amherst, New York, just outside Buffalo.
  • E. Cedarville
    Cedarville is a small unincorporated community located in the U.S. state of Missouri.
  • 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.