Triple

T21316829
Position Surface form Disambiguated ID Type / Status
Subject Rush County, Indiana E525493 entity
Predicate hasCity P316 FINISHED
Object Rushville, Indiana 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: Rushville, Indiana | Statement: [Rush County, Indiana, hasCity, Rushville, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushville, Indiana
Context triple: [Rush County, Indiana, hasCity, Rushville, Indiana]
  • A. Rushville, Indiana chosen
    Rushville, Indiana is a small Midwestern city that serves as the administrative and economic center of rural Rush County.
  • B. Schereville, Indiana
    Schererville, Indiana is a suburban town in Lake County within the Chicago metropolitan area, known for its residential communities and commercial development.
  • C. Rochester, Indiana
    Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
  • D. Collegeville, Indiana
    Collegeville, Indiana is a small unincorporated community in Jasper County best known as the former home of Saint Joseph's College.
  • E. Bloomfield, Indiana
    Bloomfield, Indiana is a small town in southwestern Indiana that serves as the administrative and commercial hub of Greene 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:34 p.m.