Triple

T12833276
Position Surface form Disambiguated ID Type / Status
Subject South Side of Milwaukee E306840 entity
Predicate partOf P40 FINISHED
Object City of Milwaukee E10031 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: City of Milwaukee | Statement: [South Side of Milwaukee, partOf, City of Milwaukee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Milwaukee
Context triple: [South Side of Milwaukee, partOf, City of Milwaukee]
  • A. Milwaukee chosen
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
  • B. City of Madison
    The City of Madison is the capital of Wisconsin, known for its lakeside setting, major public university, and vibrant civic and cultural life.
  • C. Milwaukee metropolitan area
    The Milwaukee metropolitan area is a major urban and economic region in southeastern Wisconsin centered on the city of Milwaukee and encompassing numerous surrounding suburbs and communities.
  • D. City of Wauwatosa
    The City of Wauwatosa is a suburban municipality in southeastern Wisconsin known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
  • E. Downtown Milwaukee
    Downtown Milwaukee is the city’s central business and cultural district, featuring major offices, entertainment venues, restaurants, and lakefront attractions.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7941b62bc819082ddb1f48497ff3a completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 5:34 p.m.