Triple

T14815034
Position Surface form Disambiguated ID Type / Status
Subject Renner, South Dakota E348289 entity
Predicate county P75 FINISHED
Object Minnehaha County E846011 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: Minnehaha County | Statement: [Renner, South Dakota, county, Minnehaha County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnehaha County
Context triple: [Renner, South Dakota, county, Minnehaha County]
  • A. Minnehaha County chosen
    Minnehaha County is a county in eastern South Dakota that includes Sioux Falls, the state’s largest city and a major regional economic and cultural center.
  • B. Rice County
    Rice County is a county in southeastern Minnesota known for its mix of agricultural communities and college towns, including the city of Northfield.
  • C. Linn County
    Linn County is a county in western Oregon known for its timber industry, agriculture, and location in the Willamette Valley.
  • D. Douglas County
    Douglas County is a county in the U.S. state of Georgia, located just west of Atlanta and known for its mix of suburban communities, natural attractions, and transportation corridors.
  • E. Douglas County
    Douglas County is a county in central Washington State known for its agricultural economy and location along the Columbia 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389598848190ba15e6eea2ba2903 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:49 a.m.