Triple

T12438009
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Indiana E297197 entity
Predicate contains P35 FINISHED
Object Town of Hanover, Indiana E543776 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: Town of Hanover, Indiana | Statement: [Jefferson County, Indiana, contains, Town of Hanover, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Hanover, Indiana
Context triple: [Jefferson County, Indiana, contains, Town of Hanover, Indiana]
  • A. Hanover, Indiana chosen
    Hanover, Indiana is a small town in southeastern Indiana best known as the home of Hanover College, a private liberal arts institution overlooking the Ohio River.
  • B. Whitestown, Indiana
    Whitestown, Indiana is a rapidly growing suburban town northwest of Indianapolis known for its residential developments and expanding commercial areas.
  • C. Thorntown, Indiana
    Thorntown, Indiana is a small town in Boone County known for its rural Midwestern character and historic downtown.
  • D. Huntertown, Indiana
    Huntertown, Indiana is a small suburban town in northeastern Indiana, located just northwest of Fort Wayne.
  • E. Hagerstown, Indiana
    Hagerstown, Indiana is a small town in eastern Indiana known for its historic downtown and role as a local commercial and community center within Wayne 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0911a08190ba84a20950762e68 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.