Triple

T3571479
Position Surface form Disambiguated ID Type / Status
Subject Brown County, Wisconsin E75580 entity
Predicate contains P35 FINISHED
Object Green Bay, Wisconsin E11575 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: Green Bay, Wisconsin | Statement: [Brown County, Wisconsin, contains, Green Bay, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Bay, Wisconsin
Context triple: [Brown County, Wisconsin, contains, 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. Milwaukie
    Milwaukie is a small city in northwestern Oregon, located just south of Portland along the Willamette River.
  • C. Milwaukee
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
  • D. Fond du Lac, Wisconsin
    Fond du Lac, Wisconsin is a small city in east-central Wisconsin known as a regional commercial center at the southern tip of Lake Winnebago.
  • E. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c32624819097a96b3d62e3d8f0 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ebfd548190a155fb1e65aefa8d completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.