Triple

T12719056
Position Surface form Disambiguated ID Type / Status
Subject Milwaukee–Racine–Waukesha combined statistical area E303925 entity
Predicate principalCity P3940 FINISHED
Object Racine E91753 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: Racine | Statement: [Milwaukee–Racine–Waukesha combined statistical area, principalCity, Racine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Racine
Context triple: [Milwaukee–Racine–Waukesha combined statistical area, principalCity, Racine]
  • A. Racine chosen
    Racine is a city in southeastern Wisconsin located on the shore of Lake Michigan, known historically for its manufacturing industry and Danish kringle pastries.
  • B. Racine
    Racine is a renowned 17th-century French dramatist celebrated for his classical tragedies such as "Phèdre" and "Andromaque."
  • C. Racine
    Racine is a small city located in southeastern Minnesota in the United States.
  • D. Racine
    Racine is a Chicago Transit Authority Blue Line rapid transit station serving the Near West Side of Chicago.
  • E. Stevens Point
    Stevens Point is a small city in central Wisconsin known for its university, historic downtown, and access to outdoor recreation along the Wisconsin River.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e61e7081908dec7958e8bc1125 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:24 p.m.