Triple

T15123245
Position Surface form Disambiguated ID Type / Status
Subject Carlton County, Minnesota E361219 entity
Predicate hasCity P316 FINISHED
Object Barnum, Minnesota E874970 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: Barnum, Minnesota | Statement: [Carlton County, Minnesota, hasCity, Barnum, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnum, Minnesota
Context triple: [Carlton County, Minnesota, hasCity, Barnum, Minnesota]
  • A. Barnum, Minnesota chosen
    Barnum, Minnesota is a small city in Carlton County known for its rural character and location in northeastern Minnesota.
  • B. Buhl, Minnesota
    Buhl, Minnesota is a small city on the Iron Range in St. Louis County known historically for its iron mining roots and location in northeastern Minnesota.
  • C. Bixby, Minnesota
    Bixby, Minnesota is a small unincorporated rural community located in Steele County in southern Minnesota.
  • D. Brownsville, Minnesota
    Brownsville, Minnesota is a small city along the Mississippi River in southeastern Minnesota known for its scenic river views and outdoor recreation.
  • E. Zumbrota, Minnesota
    Zumbrota, Minnesota is a small city in southeastern Minnesota known for its historic covered bridge and rural Midwestern character.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f4abd08190b47c9daff2921919 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.