Triple

T22192785
Position Surface form Disambiguated ID Type / Status
Subject Wood County, Wisconsin E548470 entity
Predicate hasTown P847 FINISHED
Object Grand Rapids, Wisconsin NE NERFINISHED

How this triple was built (3 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: Grand Rapids, Wisconsin | Statement: [Wood County, Wisconsin, hasTown, Grand Rapids, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Rapids, Wisconsin
Context triple: [Wood County, Wisconsin, hasTown, Grand Rapids, Wisconsin]
  • A. Waupaca, Wisconsin
    Waupaca, Wisconsin is a small city in central Wisconsin known for its Chain O’ Lakes, outdoor recreation, and role as a regional service and tourism center.
  • B. Waterford, Wisconsin
    Waterford, Wisconsin is a small village in Racine County known for its rural charm, proximity to the Fox River, and tight-knit community.
  • C. Cleveland, Wisconsin
    Cleveland, Wisconsin is a small village in Manitowoc County known for its rural character and location along the western shore of Lake Michigan.
  • D. New London, Wisconsin
    New London, Wisconsin is a small city in east-central Wisconsin known for its Irish heritage celebrations and location along the Wolf and Embarrass Rivers.
  • E. Wausau, Wisconsin
    Wausau, Wisconsin is a small city in north-central Wisconsin known for its significant Hmong American community, outdoor recreation, and regional economic and cultural role.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grand Rapids, Wisconsin
Target entity description: Grand Rapids is a small town in central Wisconsin located in Wood County, known for its residential communities and proximity to the Wisconsin River and the city of Wisconsin Rapids.
  • A. Waupaca, Wisconsin
    Waupaca, Wisconsin is a small city in central Wisconsin known for its Chain O’ Lakes, outdoor recreation, and role as a regional service and tourism center.
  • B. Waterford, Wisconsin
    Waterford, Wisconsin is a small village in Racine County known for its rural charm, proximity to the Fox River, and tight-knit community.
  • C. Cleveland, Wisconsin
    Cleveland, Wisconsin is a small village in Manitowoc County known for its rural character and location along the western shore of Lake Michigan.
  • D. New London, Wisconsin
    New London, Wisconsin is a small city in east-central Wisconsin known for its Irish heritage celebrations and location along the Wolf and Embarrass Rivers.
  • E. Wausau, Wisconsin
    Wausau, Wisconsin is a small city in north-central Wisconsin known for its significant Hmong American community, outdoor recreation, and regional economic and cultural role.
  • F. None of above. chosen

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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae49ec881908fa42446b19e3f2d completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.