DQS_MAIN
E277006
DQS_MAIN is the primary SQL Server database that stores knowledge bases, rules, and related metadata for Microsoft Data Quality Services.
All labels observed (2)
| Label | Occurrences |
|---|---|
| DQS_MAIN canonical | 1 |
| DQS_MAIN database | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2555860 — 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_MAIN Context triple: [Data Quality Services, usesDatabase, DQS_MAIN]
-
A.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
B.
CDQ
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
-
C.
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.
-
D.
DSS
DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
-
E.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
- 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_MAIN Target entity description: DQS_MAIN is the primary SQL Server database that stores knowledge bases, rules, and related metadata for Microsoft Data Quality Services.
-
A.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
B.
CDQ
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
-
C.
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.
-
D.
DSS
DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
-
E.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Microsoft Data Quality Services component
ⓘ
SQL Server database ⓘ |
| accessedBy |
Data Quality Client
ⓘ
linked to:
Data Quality Services
SQL Server Integration Services DQS components ⓘ
linked to:
SQL Server Integration Services
|
| associatedWith |
DQS_PROJECTS database
ⓘ
DQS_STAGING_DATA database ⓘ |
| contains |
DQS configuration tables
ⓘ
DQS domain tables ⓘ DQS internal functions ⓘ DQS internal stored procedures ⓘ DQS knowledge base tables ⓘ DQS logging tables ⓘ DQS rule tables ⓘ |
| createdBy | DQS installer ⓘ |
| createdDuring | Data Quality Services configuration process ⓘ |
| developedBy | Microsoft ⓘ |
| firstAppearedIn |
SQL Server 2012 Data Quality Services
ⓘ
linked to:
SQL Server Data Quality Services
|
| hasRole |
metadata repository for Data Quality Services
ⓘ
primary DQS database ⓘ |
| language | T-SQL ⓘ |
| managedBy |
SQL Server Database Engine
ⓘ
linked to:
SQL Server
|
| partOf |
Microsoft Data Quality Services
ⓘ
linked to:
Data Quality Services
SQL Server Data Quality Services databases ⓘ |
| platform | Windows ⓘ |
| requires | SQL Server instance with Data Quality Services installed ⓘ |
| runsOn |
Microsoft SQL Server
ⓘ
linked to:
SQL Server
|
| stores |
DQS activity logs
ⓘ
DQS configuration metadata ⓘ DQS internal statistics ⓘ data quality cleansing policies ⓘ data quality domains metadata ⓘ data quality knowledge bases ⓘ data quality matching policies ⓘ data quality projects metadata ⓘ data quality reference data metadata ⓘ data quality rules ⓘ |
| supports |
DQS security configuration
ⓘ
domain management ⓘ knowledge base authoring ⓘ knowledge base publishing ⓘ knowledge base versioning ⓘ |
| usedBy |
Microsoft SQL Server Data Quality Services
ⓘ
linked to:
SQL Server Data Quality Services
|
| usedFor |
data cleansing operations
ⓘ
data matching operations ⓘ data profiling for DQS ⓘ data quality knowledge management ⓘ managing DQS users and roles ⓘ |
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_MAIN Description of subject: DQS_MAIN is the primary SQL Server database that stores knowledge bases, rules, and related metadata for Microsoft Data Quality Services.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: DQS_MAIN