Triple
T15862032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chippewa River (Minnesota) |
E384611
|
entity |
| Predicate | locatedInAdministrativeEntity |
P40
|
FINISHED |
| Object | Big Stone 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: Big Stone County, Minnesota | Statement: [Chippewa River (Minnesota), locatedInAdministrativeEntity, Big Stone County, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Stone County, Minnesota Context triple: [Chippewa River (Minnesota), locatedInAdministrativeEntity, Big Stone County, Minnesota]
-
A.
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.
-
B.
Douglas County, Minnesota
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.
-
C.
Winona County, Minnesota
Winona County, Minnesota is a county in southeastern Minnesota along the Mississippi River, known for its blufflands, river valleys, and the city of Winona as its county seat.
-
D.
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.
-
E.
Sibley County, Minnesota
Sibley County, Minnesota is a predominantly rural county in south-central Minnesota known for its agricultural economy and small communities along the Minnesota River.
- 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: Big Stone County, Minnesota Target entity description: Big Stone County, Minnesota is a rural county in the western part of the state known for its prairies, lakes, and agricultural landscape along the Minnesota–South Dakota border.
-
A.
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.
-
B.
Douglas County, Minnesota
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.
-
C.
Winona County, Minnesota
Winona County, Minnesota is a county in southeastern Minnesota along the Mississippi River, known for its blufflands, river valleys, and the city of Winona as its county seat.
-
D.
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.
-
E.
Sibley County, Minnesota
Sibley County, Minnesota is a predominantly rural county in south-central Minnesota known for its agricultural economy and small communities along the Minnesota River.
- 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.