Triple

T20215139
Position Surface form Disambiguated ID Type / Status
Subject Jeffersonville, Georgia E493598 entity
Predicate hasName P744 FINISHED
Object Jeffersonville 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: Jeffersonville | Statement: [Jeffersonville, Georgia, hasName, Jeffersonville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffersonville
Context triple: [Jeffersonville, Georgia, hasName, Jeffersonville]
  • A. Jeffersonville chosen
    Jeffersonville is a small city in central Georgia that serves as the administrative and governmental hub of Twiggs County.
  • B. Jeffersonville, Indiana
    Jeffersonville, Indiana is a city on the Ohio River across from Louisville, Kentucky, known for its historic downtown, riverfront development, and role as a regional commercial and transportation hub.
  • C. Zionsville
    Zionsville is a suburban town in Boone County, Indiana, known for its brick-paved Main Street and affluent residential character northwest of Indianapolis.
  • D. Jeffersonville, Kentucky
    Jeffersonville, Kentucky is a small rural city located in Montgomery County in the eastern part of the state.
  • E. Evansville
    Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.