Triple
T5592645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeLaware, Missouri |
E146916
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Vernon County |
E158028
|
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: Vernon County | Statement: [DeLaware, Missouri, county, Vernon County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vernon County Context triple: [DeLaware, Missouri, county, Vernon County]
-
A.
Vernon County
chosen
Vernon County is a county located in the western part of the U.S. state of Missouri, known for its largely rural character and the county seat of Nevada.
-
B.
Winneshiek County
Winneshiek County is a county in northeastern Iowa known for its scenic Driftless Area landscape, Norwegian-American heritage, and county seat of Decorah.
-
C.
Black Hawk County
Black Hawk County is a county in northeastern Iowa that includes the city of Cedar Falls and has Waterloo as its county seat.
-
D.
Waushara County
Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
-
E.
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.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bb08648190ab1f66cc3e897e6d |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097c85fa481909dc6dcfccce8efa8 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:38 p.m.