Triple

T22212847
Position Surface form Disambiguated ID Type / Status
Subject Sheboygan Municipal Auditorium and Armory E548998 entity
Predicate hasAddressCity P4379 FINISHED
Object Sheboygan 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: Sheboygan | Statement: [Sheboygan Municipal Auditorium and Armory, hasAddressCity, Sheboygan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheboygan
Context triple: [Sheboygan Municipal Auditorium and Armory, hasAddressCity, Sheboygan]
  • A. Sheboygan, Wisconsin chosen
    Sheboygan, Wisconsin is a city on the western shore of Lake Michigan known for its maritime heritage, bratwurst culture, and freshwater surfing.
  • B. La Crosse
    La Crosse is a mid-sized city in western Wisconsin known for its location along the Mississippi River, historic downtown, and regional educational and healthcare institutions.
  • C. Eau Claire
    Eau Claire is a central riverside neighborhood in Calgary, Alberta, known for its mixed-use developments, public plazas, and proximity to the Bow River and downtown core.
  • D. Wisconsin Rapids
    Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
  • E. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2d607c81909511761b5563ddee completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.