Triple
T21283883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straight River |
E524601
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Owatonna, Minnesota |
—
|
NE NERFINISHED |
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: Owatonna, Minnesota | Statement: [Straight River, flowsNear, Owatonna, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owatonna, Minnesota Context triple: [Straight River, flowsNear, Owatonna, Minnesota]
-
A.
Owatonna, Minnesota
chosen
Owatonna, Minnesota is a small city in southern Minnesota best known as the hometown of electronic music project Owl City.
-
B.
Watertown, Minnesota
Watertown, Minnesota is a small city in Carver County known for its rural charm, proximity to the Twin Cities metro area, and access to the Crow River and regional parks.
-
C.
Osseo, Minnesota
Osseo, Minnesota is a small suburban city in Hennepin County that forms part of the Minneapolis–Saint Paul metropolitan area.
-
D.
Waconia, Minnesota
Waconia, Minnesota is a growing lakeside city in the Twin Cities metropolitan area known for its recreational Lake Waconia, wineries, and small-town community feel.
-
E.
Anoka, Minnesota
Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d4e7f881909c2cc7936a66b79d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.