Triple

T6778489
Position Surface form Disambiguated ID Type / Status
Subject Olmsted County E155618 entity
Predicate contains P35 FINISHED
Object Chatfield, Minnesota E272608 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: Chatfield, Minnesota | Statement: [Olmsted County, contains, Chatfield, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatfield, Minnesota
Context triple: [Olmsted County, contains, Chatfield, Minnesota]
  • A. Chatfield, Minnesota chosen
    Chatfield, Minnesota is a small city in southeastern Minnesota known for its historic downtown and annual Western Days celebration.
  • B. Chisholm, Minnesota
    Chisholm, Minnesota is a small city on the Mesabi Iron Range known for its mining history and the Minnesota Discovery Center.
  • C. Waverly, Minnesota
    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.
  • D. Ostrander, Minnesota
    Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
  • E. Dundas, Minnesota
    Dundas, Minnesota is a small city in southeastern Minnesota known historically for its milling industry and its location along the Cannon River.
  • 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.