Triple
T3768737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCI World Ranking |
E82744
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | points classification |
C14091
|
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: points classification Context triple: [UCI World Ranking, instanceOf, points 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.
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.
-
C.
recognition category
A recognition category is a mental grouping of stimuli or objects that are treated as equivalent for the purpose of identifying, classifying, or responding to them.
-
D.
mountain classification
Mountain classification is the conceptual process of categorizing mountains based on attributes such as elevation, prominence, geology, morphology, and regional context.
-
E.
goods classification system
A goods classification system is a structured framework for categorizing products based on shared characteristics, such as type, use, material, or regulatory requirements, to enable consistent identification, management, and analysis.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 8, 2026, 3:35 p.m.