Triple
T8060505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Dataverse |
E188107
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Power Platform component |
C11227
|
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: Power Platform component Context triple: [Microsoft Dataverse, instanceOf, Power Platform component]
-
A.
machine learning platform component
A machine learning platform component is a modular software element that provides specific functionality—such as data processing, model training, deployment, or monitoring—within an integrated ML lifecycle system.
-
B.
.NET development platform component
A .NET development platform component is a modular building block—such as a library, runtime, or tooling element—that integrates into the .NET ecosystem to provide specific functionality for building, running, or managing .NET applications.
-
C.
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.
-
D.
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.
-
E.
no-code application development platform
chosen
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.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:26 p.m.