Triple
T10317187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limon, Colorado |
E242047
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | town in Colorado |
C23457
|
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 Colorado Context triple: [Limon, Colorado, instanceOf, town in Colorado]
-
A.
municipality in Colorado
chosen
A municipality in Colorado is an incorporated local government entity—such as a city or town—established under state law to provide public services, governance, and regulations within a defined geographic area in Colorado.
-
B.
county of Colorado
A county of Colorado is an administrative subdivision of the state that serves as a local level of government, providing regional services, governance, and jurisdictional organization for its communities and unincorporated areas.
-
C.
Colorado state park
A Colorado state park is a designated natural or recreational area within the state of Colorado that is managed by Colorado Parks and Wildlife to conserve resources and provide public outdoor recreation opportunities.
-
D.
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.
-
E.
county of Utah
A county of Utah is an administrative subdivision of the state of Utah that functions as a local government unit responsible for regional services, governance, and regulation within its defined geographic boundaries.
- F. None of above.
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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:49 a.m.