Triple

T10540260
Position Surface form Disambiguated ID Type / Status
Subject Williamsburg, Iowa E248675 entity
Predicate subdivisionName2 P766 FINISHED
Object Iowa County E815893 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: Iowa County | Statement: [Williamsburg, Iowa, subdivisionName2, Iowa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iowa County
Context triple: [Williamsburg, Iowa, subdivisionName2, Iowa County]
  • A. Iowa County chosen
    Iowa County is a county in eastern Iowa known for its rural landscapes, small towns, and historic communities such as the Amana Colonies.
  • B. Wright County
    Wright County is a county in central Minnesota known for its mix of growing suburban communities and rural landscapes west of the Minneapolis–Saint Paul metropolitan area.
  • C. Winneshiek County
    Winneshiek County is a county in northeastern Iowa known for its scenic Driftless Area landscape, Norwegian-American heritage, and county seat of Decorah.
  • D. Winnebago County
    Winnebago County is a county in northern Illinois whose largest city and county seat is Rockford.
  • E. Vernon County
    Vernon County is a county located in the western part of the U.S. state of Missouri, known for its largely rural character and the county seat of Nevada.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:32 p.m.