SQL
E5275
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
All labels observed (22)
| Label | Occurrences |
|---|---|
| SQL canonical | 42 |
| Transact-SQL | 6 |
| T-SQL | 4 |
| Structured Query Language | 3 |
| ANSI SQL | 2 |
| Data Query Language | 1 |
| ISO SQL | 1 |
| Oracle SQL | 1 |
| SEQUEL | 1 |
| SQL query language | 1 |
| SQL-86 | 1 |
| SQL-89 | 1 |
| SQL-92 | 1 |
| SQL:2003 | 1 |
| SQL:2006 | 1 |
| SQL:2008 | 1 |
| SQL:2011 | 1 |
| SQL:2011 (partially) | 1 |
| SQL:2016 | 1 |
| SQL:2019 | 1 |
| Transact-SQL (T-SQL) | 1 |
| structured query language | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T39177 — 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 Context triple: [Master of Business Analytics, commonProgrammingLanguages, SQL]
-
A.
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.
-
B.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
C.
Oracle Corporation
Oracle Corporation is a major American multinational technology company best known for its database software, cloud services, and enterprise software products.
-
D.
ERP
ERP is the commonly used abbreviation for the Marshall Plan, the U.S.-led post–World War II European Recovery Program that financed and coordinated Western Europe’s economic reconstruction.
-
E.
S
S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
- 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 Target entity description: SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
A.
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.
-
B.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
C.
Oracle Corporation
Oracle Corporation is a major American multinational technology company best known for its database software, cloud services, and enterprise software products.
-
D.
ERP
ERP is the commonly used abbreviation for the Marshall Plan, the U.S.-led post–World War II European Recovery Program that financed and coordinated Western Europe’s economic reconstruction.
-
E.
S
S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
- F. None of above. chosen
Statements (71)
| Predicate | Object |
|---|---|
| instanceOf |
database language
ⓘ
programming language ⓘ query language ⓘ |
| abbreviationOf |
SQL
self-linksurface differs
ⓘ
surface form:
Structured Query Language
|
| canBeEmbeddedIn |
.NET languages
ⓘ
C ⓘ Java ⓘ PHP ⓘ Python ⓘ |
| category |
ANSI standard
ⓘ
ISO standard ⓘ |
| dataModel | relational ⓘ |
| designedFor | relational model ⓘ |
| domain | relational database management systems ⓘ |
| fullName |
SQL
self-linksurface differs
ⓘ
surface form:
Structured Query Language
|
| hasComponent |
Data Control Language
ⓘ
Data Definition Language ⓘ Data Manipulation Language ⓘ SQL self-linksurface differs ⓘ
surface form:
Data Query Language
|
| hasStandard |
SQL
self-linksurface differs
ⓘ
surface form:
SQL-86
SQL self-linksurface differs ⓘ
surface form:
SQL-89
SQL self-linksurface differs ⓘ
surface form:
SQL-92
SQL:1999 ⓘ SQL self-linksurface differs ⓘ
surface form:
SQL:2003
SQL self-linksurface differs ⓘ
surface form:
SQL:2006
SQL self-linksurface differs ⓘ
surface form:
SQL:2008
SQL self-linksurface differs ⓘ
surface form:
SQL:2011
SQL self-linksurface differs ⓘ
surface form:
SQL:2016
SQL self-linksurface differs ⓘ
surface form:
SQL:2019
|
| influencedBy |
SQL
self-linksurface differs
ⓘ
surface form:
SEQUEL
|
| introducedInDecade | 1970s ⓘ |
| originatedAt | IBM ⓘ |
| paradigm | declarative ⓘ |
| primaryUse |
controlling access to data
ⓘ
defining database schemas ⓘ managing data in relational databases ⓘ manipulating data in relational databases ⓘ querying data in relational databases ⓘ |
| standardizedBy |
ANSI
ⓘ
International Organization for Standardization ⓘ
surface form:
ISO
|
| supportsFeature |
constraints
ⓘ
joins ⓘ stored procedures ⓘ subqueries ⓘ transactions ⓘ triggers ⓘ views ⓘ |
| supportsOperation |
ALTER TABLE
ⓘ
CREATE INDEX ⓘ CREATE TABLE ⓘ CREATE VIEW ⓘ DELETE ⓘ DROP TABLE ⓘ GRANT ⓘ INSERT ⓘ REVOKE ⓘ SELECT ⓘ UPDATE ⓘ |
| usedBySystem |
IBM DB2
ⓘ
surface form:
IBM Db2
MariaDB ⓘ SQL Server ⓘ
surface form:
Microsoft SQL Server
MySQL ⓘ Oracle Database ⓘ PostgreSQL ⓘ SQLite ⓘ |
| usedFor |
OLAP systems
ⓘ
OLTP systems ⓘ analytics ⓘ business applications ⓘ data warehousing ⓘ 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 Description of subject: SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
Referenced by (74)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Transact-SQL
this entity surface form:
T-SQL
this entity surface form:
structured query language
this entity surface form:
SQL query language