Triple
T17328814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton, Minnesota |
E420758
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Otsego, Minnesota |
E1091228
|
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: Otsego, Minnesota | Statement: [Dayton, Minnesota, adjacentTo, Otsego, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otsego, Minnesota Context triple: [Dayton, Minnesota, adjacentTo, Otsego, Minnesota]
-
A.
Otsego, Minnesota
chosen
Otsego, Minnesota is a growing suburban city in the Minneapolis–Saint Paul metropolitan area known for its residential communities along the Mississippi River.
-
B.
Osseo, Minnesota
Osseo, Minnesota is a small suburban city in Hennepin County that forms part of the Minneapolis–Saint Paul metropolitan area.
-
C.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
D.
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.
-
E.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d50b308190a255874a9b8f3cd3 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4dff088190833122dbe2981045 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.