Triple
T12873199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSIS Catalog |
E307900
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | centralized SSIS repository |
C27550
|
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: centralized SSIS repository Context triple: [SSIS Catalog, instanceOf, centralized SSIS repository]
-
A.
on-premises report server
An on-premises report server is a locally hosted system that stores, processes, and delivers business reports within an organization’s own infrastructure, providing secure, controlled access to reporting data and services.
-
B.
data lake service
A data lake service is a scalable, centralized repository that stores vast amounts of raw, structured, and unstructured data and provides tools for ingestion, management, and analytics.
-
C.
Microsoft SQL Server component
chosen
A Microsoft SQL Server component is a modular part of the SQL Server ecosystem that provides specific database, analytics, integration, or management functionality within the overall data platform.
-
D.
managed data ingestion service
A managed data ingestion service is a fully hosted platform that reliably collects, transforms, and routes data from diverse sources into target systems at scale, handling infrastructure, scaling, and monitoring automatically.
-
E.
database server edition
A database server edition is a specific packaged configuration of database server software that defines its features, performance capabilities, licensing terms, and intended use cases.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
Created at: April 9, 2026, 5:38 p.m.