Triple
T37657272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Server Data Quality Services databases |
E937633
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | 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: Data Quality Services component Context triple: [SQL Server Data Quality Services databases, instanceOf, Data Quality Services component]
-
A.
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.
-
B.
risk and compliance data service
A risk and compliance data service aggregates, analyzes, and delivers regulatory, risk, and compliance-related information to help organizations identify exposures, meet legal obligations, and support informed governance decisions.
-
C.
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.
-
D.
data processing API
A data processing API is an interface that enables applications to ingest, transform, analyze, and output data through standardized, programmatic operations.
-
E.
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.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.