Triple
T3571475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown County, Wisconsin |
E75580
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | county of Wisconsin |
C13363
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: county of Wisconsin Context triple: [Brown County, Wisconsin, instanceOf, county of Wisconsin]
-
A.
county of Minnesota
A county of Minnesota is an administrative and geographic subdivision of the U.S. state of Minnesota that provides local government services, governance, and regional organization for its residents and communities.
-
B.
county of Michigan
A county of Michigan is an administrative and geographic subdivision of the U.S. state of Michigan that provides local government services, maintains public records, and manages regional infrastructure and resources for its residents.
-
C.
county in Michigan
A county in Michigan is an administrative subdivision of the state that provides local government services, governance, and regional organization for the communities and municipalities within its geographic boundaries.
-
D.
county of Indiana
A county of Indiana is a primary administrative and political subdivision of the U.S. state of Indiana, responsible for local governance, public services, and regional jurisdiction within its defined geographic boundaries.
-
E.
county of Illinois
A county of Illinois is a primary administrative and political subdivision of the state of Illinois, responsible for local governance functions such as law enforcement, courts, property assessment, and infrastructure within its defined geographic boundaries.
- F. None of above. chosen
Provenance (1 batch)
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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
Created at: March 8, 2026, 3:21 p.m.