Triple

T22089714
Position Surface form Disambiguated ID Type / Status
Subject South Shore of Lake Superior E545880 entity
Predicate hasMajorTown P316 FINISHED
Object Washburn, 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: Washburn, Wisconsin | Statement: [South Shore of Lake Superior, hasMajorTown, Washburn, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washburn, Wisconsin
Context triple: [South Shore of Lake Superior, hasMajorTown, Washburn, Wisconsin]
  • A. Washburn, Wisconsin chosen
    Washburn, Wisconsin is a small city on the shores of Lake Superior in northern Wisconsin known for its scenic waterfront and outdoor recreation.
  • B. Wilson, Wisconsin
    Wilson, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
  • C. Waterford, Wisconsin
    Waterford, Wisconsin is a small village in Racine County known for its rural charm, proximity to the Fox River, and tight-knit community.
  • D. Watertown, Wisconsin
    Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
  • E. Waupaca, Wisconsin
    Waupaca, Wisconsin is a small city in central Wisconsin known for its Chain O’ Lakes, outdoor recreation, and role as a regional service and tourism center.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e47ba08190a208af72a7cc176f completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.