Triple

T9540344
Position Surface form Disambiguated ID Type / Status
Subject Montezuma Township E230137 entity
Predicate geographicRegion P285 FINISHED
Object Poweshiek County E851250 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: Poweshiek County | Statement: [Montezuma Township, geographicRegion, Poweshiek County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poweshiek County
Context triple: [Montezuma Township, geographicRegion, Poweshiek County]
  • A. Poweshiek County chosen
    Poweshiek County is a rural county in central Iowa known for its agricultural landscape and small communities, including the town of Deep River.
  • B. Waushara County
    Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
  • 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. Ogemaw County
    Ogemaw County is a rural county in the northeastern Lower Peninsula of Michigan, known for its forests, lakes, and outdoor recreation opportunities.
  • E. Bayfield County
    Bayfield County is a county in northern Wisconsin known for its Lake Superior shoreline, Apostle Islands, and extensive outdoor recreation opportunities.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e38789881909e45e8d0b0489a59 completed April 10, 2026, 8:31 p.m.
Created at: March 30, 2026, 8:01 p.m.