Triple

T17820766
Position Surface form Disambiguated ID Type / Status
Subject Rice County E444974 entity
Predicate borders P224 FINISHED
Object Waseca 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: Waseca County | Statement: [Rice County, borders, Waseca County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waseca County
Context triple: [Rice County, borders, Waseca County]
  • A. Waseca County, Minnesota chosen
    Waseca County, Minnesota is a predominantly rural county in south-central Minnesota known for its agricultural economy and small-town communities, with Waseca as its county seat.
  • B. Wright County
    Wright County is a county in central Minnesota known for its mix of growing suburban communities and rural landscapes west of the Minneapolis–Saint Paul metropolitan area.
  • C. Mahaska County
    Mahaska County is a county in southeastern Iowa known for its agricultural landscape and county seat, Oskaloosa.
  • D. La Crosse County
    La Crosse County is a county in western Wisconsin known for the city of La Crosse, its Mississippi River bluffs, and a mix of urban, agricultural, and natural landscapes.
  • E. Chisago County, Minnesota
    Chisago County, Minnesota is a county in eastern Minnesota known for its lakes, rural communities, and location along the St. Croix River northeast of the Twin Cities metropolitan area.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48910eb8881908db8ec08e2752d7d completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.