Triple

T12094934
Position Surface form Disambiguated ID Type / Status
Subject Steele County, Minnesota E288046 entity
Predicate countySeat P383 FINISHED
Object Owatonna, Minnesota E338889 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: Owatonna, Minnesota | Statement: [Steele County, Minnesota, countySeat, Owatonna, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owatonna, Minnesota
Context triple: [Steele County, Minnesota, countySeat, Owatonna, Minnesota]
  • A. Owatonna, Minnesota chosen
    Owatonna, Minnesota is a small city in southern Minnesota best known as the hometown of electronic music project Owl City.
  • B. Watertown, Minnesota
    Watertown, Minnesota is a small city in Carver County known for its rural charm, proximity to the Twin Cities metro area, and access to the Crow River and regional parks.
  • C. Osseo, Minnesota
    Osseo, Minnesota is a small suburban city in Hennepin County that forms part of the Minneapolis–Saint Paul metropolitan area.
  • D. Waconia, Minnesota
    Waconia, Minnesota is a growing lakeside city in the Twin Cities metropolitan area known for its recreational Lake Waconia, wineries, and small-town community feel.
  • E. Anoka, Minnesota
    Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66edf7881908f29b5b40b9d020f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.