Triple
T22374799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apex |
E553125
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | serverless framework |
C23262
|
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: serverless framework Context triple: [Apex, instanceOf, serverless framework]
-
A.
serverless computing framework
chosen
A serverless computing framework is a platform that automatically manages infrastructure, scaling, and execution of code in response to events, allowing developers to deploy functions without provisioning or maintaining servers.
-
B.
serverless analytics service
A serverless analytics service is a cloud-based platform that automatically provisions and scales compute resources to process and analyze data on demand, charging only for actual usage without requiring infrastructure management.
-
C.
SaaS application scaffolding
A SaaS application scaffolding is a pre-built, configurable foundation that provides the core architecture, components, and integrations needed to rapidly develop and launch a software-as-a-service product.
-
D.
Microservices framework
A microservices framework is a software platform that provides tools, libraries, and conventions to build, deploy, and manage applications as a collection of independently deployable, loosely coupled services.
-
E.
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.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:45 p.m.