Triple

T21076039
Position Surface form Disambiguated ID Type / Status
Subject Washburn, Wisconsin E519235 entity
Predicate hasNearbyCity P350 FINISHED
Object Bayfield, 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: Bayfield, Wisconsin | Statement: [Washburn, Wisconsin, hasNearbyCity, Bayfield, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayfield, Wisconsin
Context triple: [Washburn, Wisconsin, hasNearbyCity, Bayfield, Wisconsin]
  • A. Bayfield, Wisconsin chosen
    Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
  • B. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • C. Bayside, Wisconsin
    Bayside, Wisconsin is a small suburban village in Milwaukee County known for its residential character, proximity to Lake Michigan, and inclusion in the North Shore communities of the Milwaukee metropolitan area.
  • D. 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.
  • E. Watertown, Wisconsin
    Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d690dc8190839968b562e6b8bb completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.