Triple

T14313504
Position Surface form Disambiguated ID Type / Status
Subject Southern Minnesota E354893 entity
Predicate contains P35 FINISHED
Object Albert Lea, Minnesota E316277 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: Albert Lea, Minnesota | Statement: [Southern Minnesota, contains, Albert Lea, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Lea, Minnesota
Context triple: [Southern Minnesota, contains, Albert Lea, Minnesota]
  • A. Albert Lea, Minnesota chosen
    Albert Lea, Minnesota is a small southern Minnesota city known as a regional hub near the Iowa border, surrounded by lakes and intersected by major highways.
  • B. Lansing, Minnesota
    Lansing, Minnesota is a small community located in Mower County in the southeastern part of the state.
  • C. Lindstrom, Minnesota
    Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
  • D. La Crescent, Minnesota
    La Crescent, Minnesota is a small city along the Mississippi River known as the “Apple Capital of Minnesota” for its extensive apple orchards and annual Applefest celebration.
  • E. Lemond, Minnesota
    Lemond, Minnesota is a small unincorporated rural community located in Steele County in southern 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_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_69fd4684e2648190b46328252ac9d51b completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.