Triple

T16776032
Position Surface form Disambiguated ID Type / Status
Subject Ashwaubenon, Wisconsin E407725 entity
Predicate borderedBy P224 FINISHED
Object Town of Lawrence, Wisconsin E1229151 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: Town of Lawrence, Wisconsin | Statement: [Ashwaubenon, Wisconsin, borderedBy, Town of Lawrence, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Lawrence, Wisconsin
Context triple: [Ashwaubenon, Wisconsin, borderedBy, Town of Lawrence, Wisconsin]
  • A. Lawrence, Wisconsin chosen
    Lawrence, Wisconsin is a small town in Brown County known as a suburban community within the Green Bay metropolitan area.
  • B. Germantown, Wisconsin
    Germantown, Wisconsin is a suburban village in southeastern Wisconsin known for its residential communities, local parks, and proximity to the Milwaukee metropolitan area.
  • C. Lyndon, Wisconsin
    Lyndon, Wisconsin is a small rural community located within Juneau County in the central part of the state.
  • D. Schofield, Wisconsin
    Schofield, Wisconsin is a small city in central Wisconsin that forms part of the Wausau metropolitan area along the Wisconsin River.
  • E. Lindina, Wisconsin
    Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b039a2a88190865e6a42c830c54d completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.