Triple
T27910279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenText AppWorks |
E705907
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | low-code application development platform |
C11146
|
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: low-code application development platform Context triple: [OpenText AppWorks, instanceOf, low-code application development platform]
-
A.
low-code development platform
chosen
A low-code development platform is a software environment that enables users to build applications quickly with minimal hand-coding by using visual interfaces, prebuilt components, and configuration-driven logic.
-
B.
no-code application development platform
A no-code application development platform is a software environment that enables users to design, build, and deploy applications through visual interfaces and prebuilt components without writing traditional programming code.
-
C.
composite application platform
A composite application platform is an integrated environment that enables the rapid assembly, orchestration, and management of multiple independent services or components into unified, end-to-end business applications.
-
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.
cross-platform development framework
A cross-platform development framework is a software toolkit that enables developers to build applications that run on multiple operating systems or devices from a single shared codebase.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:49 p.m.