Triple

T16420607
Position Surface form Disambiguated ID Type / Status
Subject Fox Cities E398807 entity
Predicate hasCity P316 FINISHED
Object Kaukauna, Wisconsin NE NERFINISHED

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: Kaukauna, Wisconsin | Statement: [Fox Cities, hasCity, Kaukauna, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaukauna, Wisconsin
Context triple: [Fox Cities, hasCity, Kaukauna, Wisconsin]
  • A. Kaukauna, Wisconsin chosen
    Kaukauna, Wisconsin is a small industrial city on the Fox River known historically for its paper mills and hydroelectric power.
  • B. Wauwatosa
    Wauwatosa is a suburban city in Milwaukee County, Wisconsin, known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
  • 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. 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.
  • 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 (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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f735b08190aec8331f54817462 completed April 18, 2026, 6:47 a.m.
Created at: April 10, 2026, 5:09 a.m.