Triple

T2764963
Position Surface form Disambiguated ID Type / Status
Subject Cowling Arboretum E61313 entity
Predicate county P75 FINISHED
Object Rice County E61311 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: Rice County | Statement: [Cowling Arboretum, county, Rice County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rice County
Context triple: [Cowling Arboretum, county, Rice County]
  • A. Linn County
    Linn County is a county in western Oregon known for its timber industry, agriculture, and location in the Willamette Valley.
  • B. Crawford County
    Crawford County is a rural county in central Georgia known for its agricultural landscape and small-town communities west of Macon.
  • C. Roseau County
    Roseau County is a rural county in northwestern Minnesota known for its agriculture, forests, and proximity to the Canadian border.
  • D. Cass County
    Cass County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Rice County, Minnesota chosen
    Rice County, Minnesota is a predominantly rural county in southeastern Minnesota known for its historic towns like Northfield and Faribault and as home to liberal arts institutions such as Carleton College.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd55a96c8190a109a1f0e8752477 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08639b9108190badd8d22aaf74544 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 9:57 p.m.