Triple
T37657943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure SQL Edge |
E937647
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | edge computing database |
C62886
|
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 database Context triple: [Azure SQL Edge, instanceOf, edge computing database]
-
A.
edge computing resource
chosen
An edge computing resource is a distributed computing component located close to data sources or end users that provides processing, storage, and networking capabilities to reduce latency and bandwidth usage.
-
B.
cloud-native data store
A cloud-native data store is a scalable, distributed storage system designed to run natively in cloud environments, leveraging cloud infrastructure for elasticity, resilience, and managed operations.
-
C.
edge computing framework
An edge computing framework is a software and hardware architecture that enables data processing, analytics, and decision-making to occur close to data sources or end devices rather than in centralized cloud environments, improving latency, bandwidth efficiency, and reliability.
-
D.
GPU-accelerated query engine
A GPU-accelerated query engine is a data processing system that leverages graphics processing units to execute database queries in parallel, dramatically improving performance for analytical and large-scale workloads.
-
E.
database
A database is an organized collection of structured or unstructured data stored and managed in a way that enables efficient retrieval, modification, and administration.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.