Triple

T14313502
Position Surface form Disambiguated ID Type / Status
Subject Southern Minnesota E354893 entity
Predicate contains P35 FINISHED
Object Austin, Minnesota E275854 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: Austin, Minnesota | Statement: [Southern Minnesota, contains, Austin, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin, Minnesota
Context triple: [Southern Minnesota, contains, Austin, Minnesota]
  • A. Austin, Minnesota chosen
    Austin, Minnesota is a small city in southern Minnesota known for being the home of Hormel Foods and the SPAM Museum.
  • B. Aurora, Minnesota
    Aurora, Minnesota is a small city in northeastern Minnesota located in the Mesabi Iron Range, historically tied to iron ore mining and surrounded by forests and lakes.
  • C. Houston, Minnesota
    Houston, Minnesota is a small city in southeastern Minnesota known as a gateway to outdoor recreation in the Root River Valley.
  • D. Mankato, Minnesota
    Mankato, Minnesota is a city in south-central Minnesota known historically as the site of the largest mass execution in U.S. history following the Dakota War of 1862.
  • E. Cleveland, Minnesota
    Cleveland, Minnesota is a small city in south-central Minnesota known for its rural community character and proximity to regional agricultural and natural areas.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b49e5481909b9ffab2d922e284 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967e9c208190a00a82122b8c884c completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:12 a.m.