Triple

T14294089
Position Surface form Disambiguated ID Type / Status
Subject Wright County E354392 entity
Predicate hasCity P316 FINISHED
Object Waverly, Minnesota E164865 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: Waverly, Minnesota | Statement: [Wright County, hasCity, Waverly, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waverly, Minnesota
Context triple: [Wright County, hasCity, Waverly, Minnesota]
  • A. Waverly, Minnesota chosen
    Waverly, Minnesota is a small city in Wright County known historically as the rural hometown and death place of former U.S. Vice President Hubert H. Humphrey.
  • B. Wabasha, Minnesota
    Wabasha, Minnesota is a historic small city on the Mississippi River known for its riverfront charm, bald eagle viewing, and role as one of the oldest communities in the state.
  • C. Waltham, Minnesota
    Waltham, Minnesota is a small rural city located in Mower County in the southeastern part of the state.
  • D. Walker, Minnesota
    Walker, Minnesota is a small city in north-central Minnesota known as a gateway to Leech Lake and the surrounding lake-country tourism and outdoor recreation area.
  • E. 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.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.