Triple
T8120710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Logic Apps |
E189600
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | integration platform as a service |
C4040
|
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: integration platform as a service Context triple: [Azure Logic Apps, instanceOf, integration platform as a service]
-
A.
data integration platform
A data integration platform is a system that connects, transforms, and consolidates data from disparate sources into a unified, accessible, and consistent view for analysis and operational use.
-
B.
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.
-
C.
orchestration platform
An orchestration platform is a system that automates, coordinates, and manages complex workflows and services across multiple components, tools, and environments to ensure reliable and efficient operations.
-
D.
middleware platform
chosen
A middleware platform is a software layer that sits between applications and underlying systems to provide common services, integration, and communication capabilities across distributed environments.
-
E.
Internet of Things platform
An Internet of Things platform is an integrated software and hardware environment that connects, manages, and analyzes data from distributed IoT devices to enable monitoring, control, and automation of physical systems.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:33 p.m.