Triple

T14758177
Position Surface form Disambiguated ID Type / Status
Subject Langlade County, Wisconsin E346785 entity
Predicate countySeat P383 FINISHED
Object Antigo, Wisconsin E1130921 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: Antigo, Wisconsin | Statement: [Langlade County, Wisconsin, countySeat, Antigo, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antigo, Wisconsin
Context triple: [Langlade County, Wisconsin, countySeat, Antigo, Wisconsin]
  • A. Antigo, Wisconsin chosen
    Antigo, Wisconsin is a small city in north-central Wisconsin known as a regional hub for agriculture, forestry, and outdoor recreation.
  • B. Waubeka, Wisconsin
    Waubeka, Wisconsin is an unincorporated community in Ozaukee County known as the birthplace of Flag Day in the United States.
  • C. Markesan, Wisconsin
    Markesan, Wisconsin is a small rural city in Green Lake County known for its agricultural surroundings and quiet, small-town character.
  • D. Osceola, Wisconsin
    Osceola, Wisconsin is a small village in western Wisconsin known as the birthplace of influential American furniture designer and Arts and Crafts movement leader Gustav Stickley.
  • E. Waunakee, Wisconsin
    Waunakee, Wisconsin is a village in Dane County known as a growing suburban community just north of Madison.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dbced588190ab7712c7ad50ee67 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:30 a.m.