Triple
T31887203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Deep Learning AMI |
E814037
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Amazon Machine Image |
C54157
|
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: Amazon Machine Image Context triple: [AWS Deep Learning AMI, instanceOf, Amazon Machine Image]
-
A.
cloud operating system image
chosen
A cloud operating system image is a pre-configured, virtual machine template containing an operating system and optionally additional software, used to rapidly provision and deploy instances in a cloud environment.
-
B.
Amazon Web Services product
An Amazon Web Services product is a cloud-based service or tool provided by AWS that delivers specific computing, storage, networking, data, or application functionality on a scalable, on-demand basis.
-
C.
Amazon service
An Amazon service is a cloud-based or online offering provided by Amazon that delivers specific functionality—such as computing, storage, retail, or media—to users and businesses over the internet.
-
D.
Docker image
A Docker image is a lightweight, standalone, and immutable package that contains all the code, runtime, libraries, and system tools needed to run a specific application in a container.
-
E.
Alibaba Cloud product
An Alibaba Cloud product is a cloud-based service or solution offered by Alibaba Cloud that provides computing, storage, networking, security, data management, or application capabilities to support digital and business operations.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:57 p.m.