Triple
T34804754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton Forge, Virginia |
E1003323
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | town in the United States |
C62006
|
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 the United States Context triple: [Clifton Forge, Virginia, instanceOf, town in the United States]
-
A.
town in California
A town in California is a small, incorporated community within the state that provides local governance and services to its residents, distinct from larger cities and unincorporated areas.
-
B.
town in Alaska
A town in Alaska is a small, often remote community characterized by its subarctic or arctic climate, reliance on local natural resources, and strong cultural ties among residents shaped by both Indigenous heritage and frontier history.
-
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.
township in Pennsylvania
A township in Pennsylvania is a type of municipal subdivision of a county that provides local government services to residents in areas that are typically less densely populated than cities or boroughs.
-
E.
town in Alabama
A town in Alabama is a small, incorporated municipality within the state of Alabama that provides local governance and services to its residents under state-defined charters and regulations.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.