Triple

T6778543
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Minnesota E155619 entity
Predicate containsCity P294 FINISHED
Object Byron, Minnesota E618379 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: Byron, Minnesota | Statement: [Southeastern Minnesota, containsCity, Byron, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byron, Minnesota
Context triple: [Southeastern Minnesota, containsCity, Byron, Minnesota]
  • A. Byron, Minnesota chosen
    Byron, Minnesota is a small city in southeastern Minnesota that functions as a residential community near Rochester within Olmsted County.
  • B. Byron, Wisconsin
    Byron, Wisconsin is a small rural town located in Fond du Lac County in the east-central region of the U.S. state of Wisconsin.
  • C. Ostrander, Minnesota
    Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
  • D. Eyota, Minnesota
    Eyota, Minnesota is a small city in southeastern Minnesota that serves as a rural community near the regional hub of Rochester.
  • E. Lonsdale, Minnesota
    Lonsdale, Minnesota is a small city in southern Minnesota known for its growing residential community and proximity to the Twin Cities metropolitan area.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2689d408190bc2c1ce4ae9c1b13 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8263508190ad5cace74d7d7ac2 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.