Triple
T21283876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straight River |
E524601
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Rice County |
—
|
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: Rice County | Statement: [Straight River, county, Rice County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rice County Context triple: [Straight River, county, Rice County]
-
A.
Rice County
chosen
Rice County is a county in southeastern Minnesota known for its mix of agricultural communities and college towns, including the city of Northfield.
-
B.
Dodge County
Dodge County is a largely rural county in southeastern Wisconsin known for its agricultural landscape, small towns, and proximity to the Milwaukee metropolitan area.
-
C.
Dodge County
Dodge County is a rural county in central Georgia, United States, known for its agricultural landscape and small-town communities such as its county seat, Eastman.
-
D.
Wright County
Wright County is a county in central Minnesota known for its mix of growing suburban communities and rural landscapes west of the Minneapolis–Saint Paul metropolitan area.
-
E.
Morrison County
Morrison County is a central Minnesota county known for its county seat of Little Falls and its mix of small towns, agriculture, and Mississippi River landscapes.
- 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.