Triple
T15577110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseau, Minnesota |
E374397
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Roseau County |
E921023
|
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: Roseau County | Statement: [Roseau, Minnesota, county, Roseau County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roseau County Context triple: [Roseau, Minnesota, county, Roseau County]
-
A.
Roseau County
Roseau County is a rural county in northwestern Minnesota known for its agriculture, forests, and proximity to the Canadian border.
-
B.
Beltrami County
Beltrami County is a county in northern Minnesota known for its extensive forests, lakes, and outdoor recreation areas.
-
C.
Roseau County, Minnesota
chosen
Roseau County, Minnesota is a sparsely populated county in the far northwestern part of the state, known for its agriculture, forests, and proximity to the Canadian border.
-
D.
Dakota County
Dakota County is a county in northeastern Nebraska known for including the city of South Sioux City and forming part of the Sioux City metropolitan area.
-
E.
Forest County
Forest County is a sparsely populated, heavily forested rural county in northwestern Pennsylvania known for its extensive public lands and outdoor recreation.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c78f36d88190a39f407c5d8dbc0d |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 4:11 a.m.