Triple

T7848136
Position Surface form Disambiguated ID Type / Status
Subject Waukesha County, Wisconsin E181970 entity
Predicate hasCity P316 FINISHED
Object Muskego, Wisconsin E714832 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: Muskego, Wisconsin | Statement: [Waukesha County, Wisconsin, hasCity, Muskego, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskego, Wisconsin
Context triple: [Waukesha County, Wisconsin, hasCity, Muskego, Wisconsin]
  • A. Mukwonago, Wisconsin
    Mukwonago, Wisconsin is a village in Waukesha County known for its small-town character, proximity to the Milwaukee metropolitan area, and access to nearby lakes, parks, and natural waterways.
  • B. Muskego chosen
    Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
  • C. Muscoda, Wisconsin
    Muscoda, Wisconsin is a small village in southwestern Wisconsin known as the birthplace of Baseball Hall of Famer Joe Tinker.
  • D. Waukesha, Wisconsin
    Waukesha, Wisconsin is a suburban city west of Milwaukee known for its historic downtown, former mineral springs resorts, and location along the Fox River.
  • E. Wauwatosa
    Wauwatosa is a suburban city in Milwaukee County, Wisconsin, known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde6a2bdd08190897705615109dae0 completed April 2, 2026, 3:46 a.m.
Created at: March 30, 2026, 4:49 p.m.