Triple

T19830443
Position Surface form Disambiguated ID Type / Status
Subject Sun Prairie Family Aquatic Center E476445 entity
Predicate city P40 FINISHED
Object Sun Prairie 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: Sun Prairie | Statement: [Sun Prairie Family Aquatic Center, city, Sun Prairie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Prairie
Context triple: [Sun Prairie Family Aquatic Center, city, Sun Prairie]
  • A. Sun Prairie chosen
    Sun Prairie is a rapidly growing suburban city near Madison in Dane County, Wisconsin, known for its strong public schools and community-oriented neighborhoods.
  • B. North Prairie, Wisconsin
    North Prairie, Wisconsin is a small rural village in Waukesha County known for its quiet residential character and proximity to larger southeastern Wisconsin communities.
  • C. Wisconsin Rapids
    Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
  • D. Wauwatosa
    Wauwatosa is a suburban city in Milwaukee County, Wisconsin, known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
  • E. 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.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cd9b94819081a541bb6c5c2942 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.