SQL Server
E7155
SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
All labels observed (52)
How this entity was disambiguated
This entity first appeared as the object of triple T82134 — 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: SQL Server Context triple: [Microsoft, developed, SQL Server]
-
A.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
B.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
C.
Dynamics 365
Dynamics 365 is Microsoft’s cloud-based suite of integrated business applications that combines enterprise resource planning (ERP) and customer relationship management (CRM) capabilities.
-
D.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
E.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
- 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: SQL Server Target entity description: SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
-
A.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
B.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
C.
Dynamics 365
Dynamics 365 is Microsoft’s cloud-based suite of integrated business applications that combines enterprise resource planning (ERP) and customer relationship management (CRM) capabilities.
-
D.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
E.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
- F. None of above. chosen
Statements (115)
| Predicate | Object |
|---|---|
| instanceOf |
RDBMS
ⓘ
relational database management system ⓘ |
| developer | Microsoft ⓘ |
| hasComponent |
SQL Server
self-linksurface differs
ⓘ
surface form:
SQL Server Analysis Services
SQL Server self-linksurface differs ⓘ
surface form:
SQL Server Configuration Manager
SQL Server Data Tools ⓘ SQL Server self-linksurface differs ⓘ
surface form:
SQL Server Database Engine
SQL Server Integration Services ⓘ SQL Server Management Studio ⓘ SQL Server Profiler ⓘ SQL Server Reporting Services ⓘ |
| hasEdition |
Developer Edition
ⓘ
Enterprise Edition ⓘ Evaluation Edition ⓘ Express Edition ⓘ Standard Edition ⓘ Web Edition ⓘ |
| licenseModel |
commercial
ⓘ
proprietary ⓘ |
| operatingSystem |
Docker
ⓘ
Linux ⓘ Windows ⓘ |
| owner | Microsoft ⓘ |
| supportsAPI |
.NET Data Provider for SQL Server
ⓘ
JDBC ⓘ ODBC ⓘ OLE DB ⓘ |
| supportsDeployment |
Azure SQL Managed Instance
ⓘ
Azure ⓘ
surface form:
Azure Virtual Machines
hybrid environments ⓘ |
| supportsFeature |
ACID transactions
ⓘ
Always Encrypted ⓘ SQL Server self-linksurface differs ⓘ
surface form:
Always On availability groups
CLR integration ⓘ Change Data Capture ⓘ Change Tracking ⓘ Data Quality Services ⓘ Database Mail ⓘ Database Tuning Advisor ⓘ SQL Server self-linksurface differs ⓘ
surface form:
Extended Events
JSON support ⓘ Management Data Warehouse ⓘ Master Data Services ⓘ Policy management ⓘ Policy-Based Management ⓘ Resource Governor ⓘ SQL Server self-linksurface differs ⓘ
surface form:
SQL Server Agent
SQL Server authentication ⓘ SQL Server self-linksurface differs ⓘ
surface form:
SQL Trace
SQLCMD utility ⓘ Service Broker ⓘ Temporal tables ⓘ Transparent Data Encryption ⓘ Windows authentication ⓘ XML data type ⓘ automatic tuning ⓘ backup and restore ⓘ backup encryption ⓘ bcp utility ⓘ bulk insert ⓘ column-level encryption ⓘ columnstore indexes ⓘ compression ⓘ contained databases ⓘ cross-database queries ⓘ data compression ⓘ data import and export ⓘ database encryption keys ⓘ database mail ⓘ database mirroring ⓘ database roles ⓘ database snapshots ⓘ database-level firewall rules ⓘ disaster recovery ⓘ dynamic data masking ⓘ encryption ⓘ full-text search ⓘ high availability ⓘ in-memory OLTP ⓘ indexes ⓘ linked servers ⓘ log shipping ⓘ partitioning ⓘ query optimizer ⓘ query store ⓘ replication ⓘ row-level security ⓘ rowstore indexes ⓘ security auditing ⓘ stored procedures ⓘ triggers ⓘ user-defined functions ⓘ views ⓘ |
| supportsLanguage |
.NET languages
ⓘ
Java ⓘ Node.js ⓘ PHP ⓘ Python ⓘ R ⓘ SQL ⓘ
surface form:
T-SQL
SQL ⓘ
surface form:
Transact-SQL
|
| supportsPlatform |
cloud
ⓘ
containers ⓘ on-premises ⓘ virtual machines ⓘ |
| supportsStandard | SQL ⓘ |
| useCase |
OLAP
ⓘ
OLTP ⓘ analytics ⓘ business intelligence ⓘ data integration ⓘ data warehousing ⓘ online analytical processing ⓘ online transaction processing ⓘ reporting ⓘ |
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: SQL Server Description of subject: SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
Referenced by (244)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
SQL Server 2012
this entity surface form:
SQL Server 2012
this entity surface form:
SQL Server 2014
this entity surface form:
SQL Server 2016
this entity surface form:
SQL Server 2017
this entity surface form:
SQL Server 2019
this entity surface form:
SQL Server 2022
this entity surface form:
Microsoft SQL Server
this entity surface form:
Microsoft SQL Server Database Engine
this entity surface form:
SQL Server 2008 R2
this entity surface form:
SQL Server 2012
this entity surface form:
SQL Server 2014
this entity surface form:
SQL Server 2016
this entity surface form:
SQL Server 2017
this entity surface form:
SQL Server 2019
this entity surface form:
Microsoft SQL Server
this entity surface form:
SQL Server 2016
this entity surface form:
Microsoft SQL Server
this entity surface form:
Microsoft SQL Server
this entity surface form:
SQL Server database engine
this entity surface form:
SQL Server 2005
this entity surface form:
Microsoft SQL Server
this entity surface form:
SQL Server 2008
this entity surface form:
SQL Server 2008
this entity surface form:
SQL Server 2008 R2
this entity surface form:
SQL Server 2012
this entity surface form:
SQL Server 2014
this entity surface form:
SQL Server 2016
this entity surface form:
SQL Server 2017
this entity surface form:
SQL Server 2019
this entity surface form:
SQL Server Database Engine
this entity surface form:
Microsoft SQL Server
this entity surface form:
SQL Server Database Engine
this entity surface form:
Microsoft SQL Server
this entity surface form:
SQL Server 2005
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
Microsoft SQL Server
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
Always On availability groups
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
SQL Server 2012
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
SQL Server 2014
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
SQL Server 2016
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
SQL Server 2017
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
SQL Server 2019
subject surface form:
Enterprise Edition (Microsoft SQL Server)
this entity surface form:
SQL Server 2022
subject surface form:
Microsoft SQL Server Standard Edition
this entity surface form:
Microsoft SQL Server
this entity surface form:
Microsoft SQL Server product line
this entity surface form:
Microsoft SQL Server
this entity surface form:
SQL Server Database Engine
this entity surface form:
SQL Server Database Engine
this entity surface form:
Microsoft SQL Server