Triple

T17820767
Position Surface form Disambiguated ID Type / Status
Subject Rice County E444974 entity
Predicate borders P224 FINISHED
Object Le Sueur County 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: Le Sueur County | Statement: [Rice County, borders, Le Sueur County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Sueur County
Context triple: [Rice County, borders, Le Sueur County]
  • A. Le Sueur County chosen
    Le Sueur County is a predominantly rural county in south-central Minnesota known for its agricultural landscape, small towns, and location along the Minnesota River.
  • 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. Crawford County
    Crawford County is a rural county in the northern Lower Peninsula of Michigan, known for its forests, rivers, and outdoor recreation opportunities.
  • D. Van Buren County
    Van Buren County is a county in southwestern Michigan known for its Lake Michigan shoreline, agricultural areas, and small towns.
  • E. Winneshiek County
    Winneshiek County is a county in northeastern Iowa known for its scenic Driftless Area landscape, Norwegian-American heritage, and county seat of Decorah.
  • 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.