Triple
T15862026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chippewa River (Minnesota) |
E384611
|
entity |
| Predicate | locatedInAdministrativeEntity |
P40
|
FINISHED |
| Object | Douglas County, Minnesota |
—
|
NE NERFINISHED |
How this triple was built (3 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: Douglas County, Minnesota | Statement: [Chippewa River (Minnesota), locatedInAdministrativeEntity, Douglas County, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas County, Minnesota Context triple: [Chippewa River (Minnesota), locatedInAdministrativeEntity, Douglas County, Minnesota]
-
A.
Rice County, Minnesota
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.
-
B.
Washington County, Minnesota
Washington County, Minnesota is a suburban county in the Minneapolis–Saint Paul metropolitan area known for its mix of growing residential communities, parks, and riverfront along the St. Croix River.
-
C.
Dakota County, Minnesota
Dakota County, Minnesota is a populous county in the southeastern part of the Minneapolis–Saint Paul metropolitan area, known for its mix of suburban communities, riverfront areas, and transportation corridors.
-
D.
Morrison County, Minnesota
Morrison County, Minnesota is a central Minnesota county known for its mix of agricultural land, small towns such as Little Falls, and access to the Mississippi River and outdoor recreation.
-
E.
Carver County, Minnesota
Carver County, Minnesota is a suburban county in the Minneapolis–Saint Paul metropolitan area known for its growing communities, parks, and proximity to the Twin Cities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Douglas County, Minnesota Target entity description: Douglas County, Minnesota is a largely rural county in west-central Minnesota known for its numerous lakes, outdoor recreation opportunities, and the city of Alexandria as its county seat.
-
A.
Rice County, Minnesota
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.
-
B.
Washington County, Minnesota
Washington County, Minnesota is a suburban county in the Minneapolis–Saint Paul metropolitan area known for its mix of growing residential communities, parks, and riverfront along the St. Croix River.
-
C.
Dakota County, Minnesota
Dakota County, Minnesota is a populous county in the southeastern part of the Minneapolis–Saint Paul metropolitan area, known for its mix of suburban communities, riverfront areas, and transportation corridors.
-
D.
Morrison County, Minnesota
Morrison County, Minnesota is a central Minnesota county known for its mix of agricultural land, small towns such as Little Falls, and access to the Mississippi River and outdoor recreation.
-
E.
Carver County, Minnesota
Carver County, Minnesota is a suburban county in the Minneapolis–Saint Paul metropolitan area known for its growing communities, parks, and proximity to the Twin Cities.
- F. None of above. chosen
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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555c75688190aeae5bcf5bb92bb7 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 10, 2026, 4:50 a.m.