Triple

T20861330
Position Surface form Disambiguated ID Type / Status
Subject Aurora, Minnesota E513623 entity
Predicate nearbyCity P350 FINISHED
Object Hoyt Lakes, Minnesota 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: Hoyt Lakes, Minnesota | Statement: [Aurora, Minnesota, nearbyCity, Hoyt Lakes, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoyt Lakes, Minnesota
Context triple: [Aurora, Minnesota, nearbyCity, Hoyt Lakes, Minnesota]
  • A. Hoyt Lakes, Minnesota chosen
    Hoyt Lakes, Minnesota is a small city in northeastern Minnesota known historically for its ties to the iron mining industry on the Mesabi Iron Range.
  • B. Twin Lakes, Minnesota
    Twin Lakes, Minnesota is a small rural city in southern Minnesota known for its close-knit community and surrounding agricultural landscape.
  • C. Gem Lake, Minnesota
    Gem Lake, Minnesota is a small suburban city in Ramsey County known for its residential character and proximity to the Twin Cities metropolitan area.
  • D. Ham Lake, Minnesota
    Ham Lake, Minnesota is a suburban city in Anoka County that forms part of the Minneapolis–Saint Paul metropolitan area.
  • E. Heron Lake, Minnesota
    Heron Lake, Minnesota is a small rural city in southwestern Minnesota known for its agricultural surroundings and proximity to the lake of the same name.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3ad3d1c8190be2fe35a85f2447c completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.