Triple
T22444900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deno Deploy |
E554839
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | runtime-as-a-service |
C39765
|
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: runtime-as-a-service Context triple: [Deno Deploy, instanceOf, runtime-as-a-service]
-
A.
platform as a service
Platform as a Service (PaaS) is a cloud computing model that provides a complete development and deployment environment—including infrastructure, runtime, and tools—so developers can build, run, and manage applications without handling underlying hardware or system software.
-
B.
remote execution platform
chosen
A remote execution platform is a system that securely runs code, commands, or workloads on remote infrastructure, managing resource allocation, isolation, and communication between clients and execution environments.
-
C.
cloud-native application
A cloud-native application is a software system designed and built specifically to run in cloud environments, leveraging microservices, containers, dynamic orchestration, and continuous delivery to achieve scalability, resilience, and rapid iteration.
-
D.
arcus cloud
An arcus cloud is a low, horizontal, wedge-shaped cloud formation typically associated with the leading edge of thunderstorms or cold fronts, indicating strong outflow winds and potential severe weather.
-
E.
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.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:47 p.m.