Triple

T636217
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin E16627 entity
Predicate largestCity P235 FINISHED
Object 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: Milwaukee | Statement: [Wisconsin, largestCity, Milwaukee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milwaukee
Context triple: [Wisconsin, largestCity, 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. Green Bay, Wisconsin
    Green Bay, Wisconsin is a city in northeastern Wisconsin best known as the home of the NFL’s Green Bay Packers and one of the oldest continuously operating professional football franchises in the United States.
  • C. La Crosse
    La Crosse is a mid-sized city in western Wisconsin known for its location along the Mississippi River, historic downtown, and regional educational and healthcare institutions.
  • D. Marquette, Michigan
    Marquette, Michigan is a city on the southern shore of Lake Superior known as a regional hub for education, healthcare, and outdoor recreation in Michigan’s Upper Peninsula.
  • E. Greendale, Wisconsin
    Greendale, Wisconsin is a planned community and village near Milwaukee that was developed in the 1930s as one of the New Deal “Greenbelt” towns.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63742d8a8819087c7c2fa2430da75 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:35 p.m.