Triple
T22060461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AquaLogic Ensemble |
E545137
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | composite application platform |
C45737
|
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: composite application platform Context triple: [AquaLogic Ensemble, instanceOf, composite application platform]
-
A.
data application platform
A data application platform is an integrated environment that enables users to ingest, store, process, analyze, and operationalize data to rapidly build, deploy, and manage data-driven applications at scale.
-
B.
cloud-native application
A cloud-native application is a software system designed and built specifically to run in cloud environments, leveraging microservices, containers, dynamic orchestration, and continuous delivery to achieve scalability, resilience, and rapid iteration.
-
C.
cross-platform application
A cross-platform application is software designed to run consistently across multiple operating systems or device types with minimal platform-specific modifications.
-
D.
enterprise application framework
An enterprise application framework is a reusable, extensible software infrastructure that provides standardized components, patterns, and services to simplify the development, integration, and maintenance of large-scale business applications.
-
E.
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.
- F. None of above. chosen
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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 16, 2026, 8:27 p.m.