Triple

T14769808
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin Woodchucks E347098 entity
Predicate homeCity P263 FINISHED
Object Wausau E247558 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: Wausau | Statement: [Wisconsin Woodchucks, homeCity, Wausau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wausau
Context triple: [Wisconsin Woodchucks, homeCity, Wausau]
  • A. Wausau, Wisconsin chosen
    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.
  • B. Cloquet
    Cloquet is a small city in northeastern Minnesota known for its paper mill industry and proximity to Duluth.
  • C. Waupun, Wisconsin
    Waupun, Wisconsin is a small city in Dodge and Fond du Lac counties known for its historic correctional institutions and prominent public sculptures, including the famous "End of the Trail" statue.
  • D. Wauwatosa
    Wauwatosa is a suburban city in Milwaukee County, Wisconsin, known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
  • E. 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.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81334e08190a77d760e507d00ed completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d39a0908190a27f7bbaee7a04ef completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 1:31 a.m.