Triple

T18607612
Position Surface form Disambiguated ID Type / Status
Subject Brown County E454797 entity
Predicate hasCountySeat P383 FINISHED
Object Green Bay, Wisconsin 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: Green Bay, Wisconsin | Statement: [Brown County, hasCountySeat, Green Bay, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Bay, Wisconsin
Context triple: [Brown County, hasCountySeat, Green Bay, Wisconsin]
  • A. Green Bay, Wisconsin chosen
    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.
  • B. Green Bay
    Green Bay is a small community located within the municipality of Northeastern Manitoulin and the Islands in Ontario, Canada.
  • C. Green Bay
    Green Bay is a large arm of Lake Michigan located between Wisconsin and Michigan’s Upper Peninsula, known for its coastal communities, fishing, and maritime history.
  • D. Milwaukie
    Milwaukie is a small city in northwestern Oregon, located just south of Portland along the Willamette River.
  • E. Milwaukee
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e547552a648190839cd8cdfed15e12 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.