Triple
T6911633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Census-designated place |
E159947
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | human settlement classification |
C6527
|
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: human settlement classification Context triple: [Census-designated place, instanceOf, human settlement classification]
-
A.
public land classification
Public land classification is the systematic categorization of government-owned lands based on their designated uses, protections, and management objectives, such as conservation, recreation, resource extraction, or development.
-
B.
collection of human settlements
A collection of human settlements is a grouping of distinct inhabited places—such as villages, towns, or cities—considered together based on shared geographic, administrative, or functional characteristics.
-
C.
Human settlement
chosen
A human settlement is a community where people live and interact, ranging in scale from small villages to large cities, characterized by organized habitation, infrastructure, and social structures.
-
D.
urban-type settlement
An urban-type settlement is a semi-urban locality that exhibits some characteristics of a town or small city—such as concentrated housing, infrastructure, and non-agricultural employment—without meeting all the criteria for full city status.
-
E.
points classification
Points classification is a conceptual class that categorizes entities based on accumulated points or scores according to predefined criteria or performance metrics.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:25 p.m.