Triple
T7933206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud Functions for Firebase |
E184230
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Backend as a Service feature |
C6083
|
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: Backend as a Service feature Context triple: [Cloud Functions for Firebase, instanceOf, Backend as a Service feature]
-
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.
cloud service
chosen
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.
-
C.
no-code application development platform
A no-code application development platform is a software environment that enables users to design, build, and deploy applications through visual interfaces and prebuilt components without writing traditional programming code.
-
D.
Provider Backbone Bridges standard
The Provider Backbone Bridges standard defines a scalable Ethernet networking architecture that encapsulates customer traffic within provider-managed backbone networks to extend Layer 2 services across large metropolitan or wide-area domains.
-
E.
application lifecycle management platform
An application lifecycle management platform is an integrated system that supports planning, development, testing, deployment, maintenance, and governance of software applications throughout their entire lifecycle.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:08 p.m.