Triple

T6158856
Position Surface form Disambiguated ID Type / Status
Subject Meyers Beach E137389 entity
Predicate near P350 FINISHED
Object Cornucopia, Wisconsin E519235 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: Cornucopia, Wisconsin | Statement: [Meyers Beach, near, Cornucopia, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornucopia, Wisconsin
Context triple: [Meyers Beach, near, Cornucopia, Wisconsin]
  • A. Muscoda, Wisconsin
    Muscoda, Wisconsin is a small village in southwestern Wisconsin known as the birthplace of Baseball Hall of Famer Joe Tinker.
  • B. Elkhorn, Wisconsin
    Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
  • C. 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.
  • D. Fish Creek, Wisconsin
    Fish Creek, Wisconsin is a small, scenic village and popular tourist destination on the shores of Green Bay in Door County, known for its waterfront, arts scene, and access to Peninsula State Park.
  • E. Rock Island, Wisconsin
    Rock Island, Wisconsin is a small, remote island in Lake Michigan known for its state park, historic lighthouse, and lack of cars or modern development.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d32ef548190bc215d052d3497fe completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.