Triple
T10985037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrisburgh, Vermont |
E259606
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | town in Vermont |
C28440
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: town in Vermont Context triple: [Ferrisburgh, Vermont, instanceOf, town in Vermont]
-
A.
county of Vermont
A county of Vermont is an administrative and geographic subdivision of the state of Vermont that serves as a regional unit for local governance, judicial administration, and statistical purposes.
-
B.
town in Connecticut
A town in Connecticut is a municipal subdivision of the state with its own local government, defined geographic boundaries, and responsibility for providing community services to its residents.
-
C.
town in Massachusetts
A town in Massachusetts is a municipal entity with its own local government, typically governed by an open or representative town meeting and a board of selectmen, providing services and regulations for residents within its defined geographic boundaries.
-
D.
town in Maine
A town in Maine is a local governmental unit within the state of Maine that encompasses a defined geographic area, provides municipal services, and is governed by elected officials, often through a town meeting system.
-
E.
town in North Carolina
A town in North Carolina is a municipally incorporated community within the state that provides local governance, services, and regulations for its residents under North Carolina law.
- F. None of above. chosen
Provenance (1 batch)
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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:24 p.m.