Triple
T9927522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baudette, Minnesota |
E187959
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Lake of the Woods County |
E707639
|
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: Lake of the Woods County | Statement: [Baudette, Minnesota, county, Lake of the Woods County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake of the Woods County Context triple: [Baudette, Minnesota, county, Lake of the Woods County]
-
A.
Lake of the Woods County
chosen
Lake of the Woods County is a sparsely populated county in northern Minnesota known for encompassing the Northwest Angle and extensive lake and wilderness areas.
-
B.
Steele County
Steele County is a rural county in eastern North Dakota known for its agricultural landscape and small, close-knit communities.
-
C.
La Crosse County
La Crosse County is a county in western Wisconsin known for the city of La Crosse, its Mississippi River bluffs, and a mix of urban, agricultural, and natural landscapes.
-
D.
Winnebago County
Winnebago County is a county in northern Illinois whose largest city and county seat is Rockford.
-
E.
Roseau County
Roseau County is a rural county in northwestern Minnesota known for its agriculture, forests, and proximity to the Canadian border.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59b85f88190899ea279fc02660f |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e1eace88190a591cbab02153869 |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.