Triple

T16047306
Position Surface form Disambiguated ID Type / Status
Subject Dearborn County, Indiana E389255 entity
Predicate hasTown P847 FINISHED
Object Aurora, Indiana E1120143 NE FINISHED

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: Aurora, Indiana | Statement: [Dearborn County, Indiana, hasTown, Aurora, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora, Indiana
Context triple: [Dearborn County, Indiana, hasTown, Aurora, Indiana]
  • A. Aurora, Indiana chosen
    Aurora, Indiana is a historic small city along the Ohio River known for its 19th-century architecture and role as a regional community hub in southeastern Indiana.
  • B. 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.
  • C. Auburn, Indiana
    Auburn, Indiana is a small city in northeastern Indiana known for its rich automotive history and annual classic car festivals.
  • D. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • E. Anderson, Indiana
    Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835eda348190aff492f0ff668cce completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c44fe7c81908eb32c0b0967365f completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:56 a.m.