Triple

T17820739
Position Surface form Disambiguated ID Type / Status
Subject Rice County E444974 entity
Predicate hasCountySeat P383 FINISHED
Object Faribault NE NERFINISHED

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: Faribault | Statement: [Rice County, hasCountySeat, Faribault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faribault
Context triple: [Rice County, hasCountySeat, Faribault]
  • A. Faribault, Minnesota chosen
    Faribault, Minnesota is a historic city in southern Minnesota known for its manufacturing heritage, diverse community, and proximity to the Cannon and Straight Rivers.
  • B. Fargo
    Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
  • C. Fargo
    Fargo is the NATO reporting name for the Mikoyan-Gurevich MiG-9, an early Soviet jet fighter developed shortly after World War II.
  • D. Moorhead
    Moorhead is a small town in Sunflower County, Mississippi, known historically as a railroad junction in the Mississippi Delta region.
  • E. Crookston
    Crookston is a suburban area in the south-west of Glasgow, Scotland, known for its residential character and proximity to Crookston Castle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48910eb8881908db8ec08e2752d7d completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.