Triple
T10033285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .NET (via integration) |
E204901
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | enterprise application integration technique |
C18977
|
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 integration technique Context triple: [.NET (via integration), instanceOf, enterprise application integration technique]
-
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.
data integration approach
A data integration approach is a conceptual strategy that defines how data from multiple, heterogeneous sources is combined, transformed, and unified into a coherent, usable view for analysis and operations.
-
C.
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.
-
D.
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.
-
E.
integration approach
chosen
An integration approach is a conceptual strategy that defines how separate systems, components, or processes are connected and coordinated to function together as a unified whole.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 8:54 p.m.