Triple
T22868228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States physiographic regions system |
E567115
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | geographic classification framework |
C33781
|
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: geographic classification framework Context triple: [United States physiographic regions system, instanceOf, geographic classification framework]
-
A.
ecoregion classification system
chosen
An ecoregion classification system is a structured framework that categorizes geographic areas into distinct ecological regions based on shared environmental conditions, ecosystems, and biodiversity patterns.
-
B.
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.
-
C.
geographical region
A geographical region is a defined area of the Earth's surface characterized by shared physical, cultural, political, or environmental features that distinguish it from surrounding areas.
-
D.
framework for classifying geometries
A framework for classifying geometries is a structured system of principles and criteria used to organize and distinguish different types of geometric spaces based on their properties and relationships.
-
E.
geographical concept
A geographical concept is an abstract idea or principle used to understand, describe, and analyze the spatial characteristics, relationships, and processes of the Earth's physical and human environments.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 17, 2026, 3:38 p.m.