Triple
T13025783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson County, Minnesota |
E326301
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Okabena, Minnesota
Okabena, Minnesota is a small rural city located in southwestern Minnesota within Jackson County.
|
E1025412
|
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: Okabena, Minnesota | Statement: [Jackson County, Minnesota, hasCity, Okabena, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okabena, Minnesota Context triple: [Jackson County, Minnesota, hasCity, Okabena, Minnesota]
-
A.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
B.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
C.
Wabasha, Minnesota
Wabasha, Minnesota is a historic small city on the Mississippi River known for its riverfront charm, bald eagle viewing, and role as one of the oldest communities in the state.
-
D.
Hokah, Minnesota
Hokah, Minnesota is a small city in southeastern Minnesota near the Mississippi River, known for its rural character and proximity to La Crosse, Wisconsin.
-
E.
Isanti, Minnesota
Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
- 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: Okabena, Minnesota Triple: [Jackson County, Minnesota, hasCity, Okabena, Minnesota]
Generated description
Okabena, Minnesota is a small rural city located in southwestern Minnesota within Jackson County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okabena, Minnesota Target entity description: Okabena, Minnesota is a small rural city located in southwestern Minnesota within Jackson County.
-
A.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
B.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
C.
Wabasha, Minnesota
Wabasha, Minnesota is a historic small city on the Mississippi River known for its riverfront charm, bald eagle viewing, and role as one of the oldest communities in the state.
-
D.
Hokah, Minnesota
Hokah, Minnesota is a small city in southeastern Minnesota near the Mississippi River, known for its rural character and proximity to La Crosse, Wisconsin.
-
E.
Isanti, Minnesota
Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead058ac819091b13ddd25067869 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f151f25c8190a55714d980dd8c91 |
completed | May 3, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f1b5c67c8190a2216ef32c5420c9 |
completed | May 3, 2026, 6:56 a.m. |
Created at: April 9, 2026, 8:53 p.m.