Triple
T32415647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure workloads |
E828325
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud computing concept |
C5173
|
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: cloud computing concept Context triple: [Azure workloads, instanceOf, cloud computing concept]
-
A.
cloud computing service model
A cloud computing service model defines the way computing resources are delivered over the internet—such as infrastructure, platforms, or software—specifying which components are managed by the provider versus the customer.
-
B.
cloud computing platform
chosen
A cloud computing platform is an integrated environment that provides on-demand access to scalable computing resources, storage, and services over the internet, enabling users to deploy, manage, and run applications without managing underlying hardware.
-
C.
cloud computing service feature
A cloud computing service feature is a specific capability or function offered by a cloud provider—such as storage, compute, networking, or security—that users can configure and consume on demand over the internet.
-
D.
cloud service
A cloud service is an on-demand, internet-delivered computing resource—such as storage, processing power, or applications—managed by a provider and accessed remotely by users.
-
E.
cloud computing use case
A cloud computing use case is a specific scenario in which cloud-based resources and services are applied to solve a business, technical, or operational need, such as scalable web hosting, data analytics, or disaster recovery.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:54 a.m.