Triple
T36642333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Glossary of Edge Computing |
E904615
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | edge computing resource |
C62886
|
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: edge computing resource Context triple: [Open Glossary of Edge Computing, instanceOf, edge computing resource]
-
A.
edge computing framework
An edge computing framework is a software and hardware architecture that enables data processing, analytics, and decision-making to occur close to data sources or end devices rather than in centralized cloud environments, improving latency, bandwidth efficiency, and reliability.
-
B.
edge AI platform
An edge AI platform is an integrated hardware and software environment that deploys, manages, and runs artificial intelligence models directly on edge devices close to data sources, enabling low-latency, secure, and efficient processing without relying heavily on centralized cloud resources.
-
C.
cloud resource container
A cloud resource container is a logical grouping construct that organizes, manages, and applies common policies (such as access control, billing, and configuration) to a collection of related cloud resources.
-
D.
web compute API
A web compute API is an interface that allows developers to programmatically provision, manage, and execute computational workloads over the web, abstracting underlying infrastructure details.
-
E.
data center GPU
A data center GPU is a high-performance graphics processing unit designed for server environments to accelerate large-scale parallel workloads such as AI, HPC, and data analytics with optimized power, cooling, and reliability features.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:11 p.m.