Triple

T21411734
Position Surface form Disambiguated ID Type / Status
Subject Portage County, Wisconsin E528187 entity
Predicate hasTown P847 FINISHED
Object Sharon, 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: Sharon, Wisconsin | Statement: [Portage County, Wisconsin, hasTown, Sharon, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon, Wisconsin
Context triple: [Portage County, Wisconsin, hasTown, Sharon, Wisconsin]
  • A. Sharon, Wisconsin chosen
    Sharon, Wisconsin is a small rural village located in southwestern Walworth County near the Illinois border.
  • B. Shawano, Wisconsin
    Shawano, Wisconsin is a small city in northeastern Wisconsin known as a regional hub for outdoor recreation and access to nearby lakes and forests.
  • C. Schofield, Wisconsin
    Schofield, Wisconsin is a small city in central Wisconsin that forms part of the Wausau metropolitan area along the Wisconsin River.
  • D. Sherman, Wisconsin
    Sherman, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
  • E. Sturtevant, Wisconsin
    Sturtevant, Wisconsin is a small village in Racine County known for its industrial base, residential communities, and regional rail connectivity between Milwaukee and Chicago.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b1fe2cd08190bfaf28daae4f5233 completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:43 p.m.