Triple
T13622739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobles County, Minnesota |
E325496
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Brewster, Minnesota
Brewster, Minnesota is a small rural city located in southwestern Minnesota within Nobles County.
|
E1056537
|
NE FINISHED |
How this triple was built (4 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: Brewster, Minnesota | Statement: [Nobles County, Minnesota, hasCity, Brewster, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brewster, Minnesota Context triple: [Nobles County, Minnesota, hasCity, Brewster, Minnesota]
-
A.
Buhl, Minnesota
Buhl, Minnesota is a small city on the Iron Range in St. Louis County known historically for its iron mining roots and location in northeastern Minnesota.
-
B.
Brownsville, Minnesota
Brownsville, Minnesota is a small city along the Mississippi River in southeastern Minnesota known for its scenic river views and outdoor recreation.
-
C.
Bigelow, Minnesota
Bigelow, Minnesota is a small rural city in southwestern Minnesota known for its agricultural surroundings and close-knit community.
-
D.
Brookston, Minnesota
Brookston, Minnesota is a small rural city in St. Louis County known for its location along key regional routes in northeastern Minnesota.
-
E.
Bixby, Minnesota
Bixby, Minnesota is a small unincorporated rural community located in Steele County in southern Minnesota.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brewster, Minnesota Triple: [Nobles County, Minnesota, hasCity, Brewster, Minnesota]
Generated description
Brewster, Minnesota is a small rural city located in southwestern Minnesota within Nobles County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brewster, Minnesota Target entity description: Brewster, Minnesota is a small rural city located in southwestern Minnesota within Nobles County.
-
A.
Buhl, Minnesota
Buhl, Minnesota is a small city on the Iron Range in St. Louis County known historically for its iron mining roots and location in northeastern Minnesota.
-
B.
Brownsville, Minnesota
Brownsville, Minnesota is a small city along the Mississippi River in southeastern Minnesota known for its scenic river views and outdoor recreation.
-
C.
Bigelow, Minnesota
Bigelow, Minnesota is a small rural city in southwestern Minnesota known for its agricultural surroundings and close-knit community.
-
D.
Brookston, Minnesota
Brookston, Minnesota is a small rural city in St. Louis County known for its location along key regional routes in northeastern Minnesota.
-
E.
Bixby, Minnesota
Bixby, Minnesota is a small unincorporated rural community located in Steele County in southern Minnesota.
- F. None of above. chosen
Provenance (5 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d41d1108190be5193b246845f07 |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:50 p.m.