Triple

T17553930
Position Surface form Disambiguated ID Type / Status
Subject Eagle River, Wisconsin E427541 entity
Predicate county P75 FINISHED
Object Vilas County 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: Vilas County | Statement: [Eagle River, Wisconsin, county, Vilas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilas County
Context triple: [Eagle River, Wisconsin, county, Vilas County]
  • A. Vilas County, Wisconsin chosen
    Vilas County, Wisconsin is a northern Wisconsin county known for its extensive forests, numerous lakes, and popularity as a year-round outdoor recreation destination.
  • B. Steuben County
    Steuben County is a largely rural county in New York State’s Southern Tier region, known for its small towns, rolling hills, and proximity to the Finger Lakes.
  • C. Marquette County
    Marquette County is a county in Michigan’s Upper Peninsula known for its Lake Superior shoreline, forests, and the city of Marquette as its largest community.
  • D. Missaukee County
    Missaukee County is a rural county in northern Michigan known for its forests, lakes, and agricultural landscape.
  • E. Bayfield County
    Bayfield County is a county in northern Wisconsin known for its Lake Superior shoreline, Apostle Islands, and extensive outdoor recreation opportunities.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45620983c81909e71f938ce934efa completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.