Triple
T27888197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JavaScript SDK for Azure Data Lake Storage |
E705284
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Azure SDK component |
C29596
|
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: Azure SDK component Context triple: [JavaScript SDK for Azure Data Lake Storage, instanceOf, Azure SDK component]
-
A.
Microsoft developer platform service
chosen
A Microsoft developer platform service is a cloud-based or on-premises offering that provides tools, runtimes, APIs, and infrastructure to help developers build, deploy, and manage applications within the Microsoft ecosystem.
-
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.
arcus cloud
An arcus cloud is a low, horizontal, wedge-shaped cloud formation typically associated with the leading edge of thunderstorms or cold fronts, indicating strong outflow winds and potential severe weather.
-
D.
SaaS application scaffolding
A SaaS application scaffolding is a pre-built, configurable foundation that provides the core architecture, components, and integrations needed to rapidly develop and launch a software-as-a-service product.
-
E.
cloud service
A cloud service is an on-demand, internet-delivered computing resource—such as storage, processing power, or applications—managed by a provider and accessed remotely by users.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:34 p.m.