DQS Client
E277005
DQS Client is a graphical tool in SQL Server Data Quality Services that lets users create, manage, and apply data quality knowledge for profiling, cleansing, and matching data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DQS Client canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2555858 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DQS Client Context triple: [Data Quality Services, hasComponent, DQS Client]
-
A.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
-
B.
CDQ
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
-
C.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
D.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
E.
DSO
DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DQS Client Target entity description: DQS Client is a graphical tool in SQL Server Data Quality Services that lets users create, manage, and apply data quality knowledge for profiling, cleansing, and matching data.
-
A.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
-
B.
CDQ
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
-
C.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
D.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
E.
DSO
DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
SQL Server component
ⓘ
graphical tool ⓘ software application ⓘ |
| accessMethod | Start menu shortcut in SQL Server Data Quality Services ⓘ |
| allowsUserRole |
data quality administrator
ⓘ
data steward ⓘ |
| configurationStoredIn | DQS_MAIN database ⓘ |
| connectsTo |
DQS_MAIN
ⓘ
surface form:
DQS_MAIN database
DQS_PROJECTS database ⓘ DQS_STAGING_DATA database ⓘ |
| developedBy | Microsoft ⓘ |
| hasUserInterfaceType | graphical user interface ⓘ |
| introducedIn |
SQL Server
ⓘ
surface form:
SQL Server 2012
|
| licenseModel | included with SQL Server license ⓘ |
| partOf |
SQL Server
ⓘ
surface form:
Microsoft SQL Server
SQL Server Data Quality Services ⓘ |
| primaryProgrammingLanguage |
.NET Framework
ⓘ
surface form:
.NET
|
| providesOutput |
cleansed data records
ⓘ
data quality statistics ⓘ matching results ⓘ |
| relatedTo |
Master Data Services
ⓘ
SQL Server Integration Services ⓘ |
| requiresComponent |
DQS databases
ⓘ
DQS server ⓘ |
| runsOn | Windows ⓘ |
| supportsDataSourceType |
CSV files
ⓘ
Excel files ⓘ SQL Server tables ⓘ |
| supportsFeature |
data correction suggestions
ⓘ
data profiling reports ⓘ data quality projects ⓘ data quality rules ⓘ domain management ⓘ export of cleansed data ⓘ import of domain values ⓘ knowledge base creation ⓘ knowledge base management ⓘ knowledge discovery ⓘ matching policy definition ⓘ reference data services integration ⓘ |
| usedFor |
data cleansing
ⓘ
data deduplication ⓘ data matching ⓘ data profiling ⓘ data quality management ⓘ data standardization ⓘ knowledge-driven data quality ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: DQS Client Description of subject: DQS Client is a graphical tool in SQL Server Data Quality Services that lets users create, manage, and apply data quality knowledge for profiling, cleansing, and matching data.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.