Triple
T11655644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DQS_MAIN |
E277006
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Microsoft Data Quality Services component |
C10343
|
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: Microsoft Data Quality Services component Context triple: [DQS_MAIN, instanceOf, Microsoft Data Quality Services component]
-
A.
Microsoft SQL Server component
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.
-
B.
data quality tool
chosen
A data quality tool is a software solution that profiles, validates, cleans, and monitors data to ensure its accuracy, consistency, completeness, and reliability across systems.
-
C.
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.
-
D.
master data management solution
A master data management solution is a centralized platform that defines, consolidates, and governs an organization’s core data entities to ensure consistency, accuracy, and reliability across all systems and business processes.
-
E.
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.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:39 p.m.