Triple

T7013571
Position Surface form Disambiguated ID Type / Status
Subject Dakota County, Minnesota E162643 entity
Predicate countySeat P383 FINISHED
Object Hastings, Minnesota E618391 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: Hastings, Minnesota | Statement: [Dakota County, Minnesota, countySeat, Hastings, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hastings, Minnesota
Context triple: [Dakota County, Minnesota, countySeat, Hastings, Minnesota]
  • A. Hastings, Minnesota chosen
    Hastings, Minnesota is a historic city along the Mississippi River known for its picturesque riverfront, distinctive bridge, and role as the county seat of Dakota County.
  • B. Ostrander, Minnesota
    Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
  • C. Hastings, Iowa
    Hastings, Iowa is a small rural city located in southwestern Iowa within Mills County.
  • D. Morris, Minnesota
    Morris, Minnesota is a small city in west-central Minnesota known for hosting the University of Minnesota Morris and serving as a regional educational and agricultural hub.
  • E. Hermantown, Minnesota
    Hermantown, Minnesota is a suburban city near Duluth known for its mix of residential neighborhoods, commercial development, and proximity to major transportation routes in northeastern Minnesota.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc59cbfc8190bba9ebd14143d43c completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4ff6148190a7a453328507fd6b completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.