Triple

T14170519
Position Surface form Disambiguated ID Type / Status
Subject Menominee E351192 entity
Predicate populationCenter P2106 FINISHED
Object Keshena, Wisconsin E961653 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: Keshena, Wisconsin | Statement: [Menominee, populationCenter, Keshena, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keshena, Wisconsin
Context triple: [Menominee, populationCenter, Keshena, Wisconsin]
  • A. Keshena, Wisconsin chosen
    Keshena, Wisconsin is an unincorporated community that serves as the seat of the Menominee Indian Reservation and Menominee County in northeastern Wisconsin.
  • B. Kewaskum, Wisconsin
    Kewaskum, Wisconsin is a small village in southeastern Wisconsin known for its proximity to the Kettle Moraine State Forest and its rural, community-oriented character.
  • C. Waubeka, Wisconsin
    Waubeka, Wisconsin is an unincorporated community in Ozaukee County known as the birthplace of Flag Day in the United States.
  • D. Necedah, Wisconsin
    Necedah, Wisconsin is a small village in central Wisconsin known as a gateway to nearby wildlife refuges and outdoor recreation areas.
  • E. Elkhorn, Wisconsin
    Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda904f8ac8190a4206b6ab6ee812c completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:01 a.m.