Triple
T36641952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akraino Edge Stack |
E904607
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | edge computing project |
C23261
|
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: edge computing project Context triple: [Akraino Edge Stack, instanceOf, edge computing project]
-
A.
edge AI platform
An edge AI platform is an integrated hardware and software environment that deploys, manages, and runs artificial intelligence models directly on edge devices close to data sources, enabling low-latency, secure, and efficient processing without relying heavily on centralized cloud resources.
-
B.
cloud native project
chosen
A cloud native project is an application or system designed, built, and operated to fully leverage cloud computing models—such as containerization, microservices, dynamic orchestration, and managed services—for scalability, resilience, and rapid delivery.
-
C.
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.
-
D.
embedded computing platform series
A series of embedded computing platforms is a family of related hardware and software modules designed to provide scalable, application-specific processing, connectivity, and I/O capabilities for integration into dedicated electronic systems.
-
E.
embedded computing company
An embedded computing company designs, develops, and supplies specialized hardware and software systems that integrate computing capabilities into products and devices for specific, often real-time, applications.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:11 p.m.