Triple
T22060489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java EE |
E545138
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | enterprise application platform |
C17782
|
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: enterprise application platform Context triple: [Java EE, instanceOf, enterprise application platform]
-
A.
enterprise application server
An enterprise application server is a software platform that provides a managed, secure, and scalable runtime environment for deploying, integrating, and running multi-tier business applications and services.
-
B.
enterprise application framework
chosen
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.
-
C.
enterprise software-as-a-service platform
An enterprise software-as-a-service platform is a cloud-based solution that delivers scalable, secure, and centrally managed business applications to organizations on a subscription basis.
-
D.
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.
-
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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 16, 2026, 8:27 p.m.