INGRES relational database system
E61025
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
All labels observed (6)
How this entity was disambiguated
This entity first appeared as the object of triple T488047 — 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: INGRES relational database system Context triple: [ACM Software System Award, notableRecipient, INGRES relational database system]
-
A.
Database System Concepts
Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
-
B.
Xanadu hypertext system
The Xanadu hypertext system is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, bidirectionally linked, non-destructive document publishing and versioning system.
-
C.
IBM DB2
IBM DB2 is a family of enterprise-grade relational database management systems developed by IBM, widely used for high-performance, scalable data storage and transaction processing across mainframe, distributed, and cloud environments.
-
D.
SIGMOD
SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
-
E.
UCSD p-System
UCSD p-System is a portable operating system and programming environment based on the Pascal language and p-code virtual machine, widely used in the late 1970s and early 1980s across multiple hardware platforms.
- 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: INGRES relational database system Target entity description: INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
A.
Database System Concepts
Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
-
B.
Xanadu hypertext system
The Xanadu hypertext system is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, bidirectionally linked, non-destructive document publishing and versioning system.
-
C.
IBM DB2
IBM DB2 is a family of enterprise-grade relational database management systems developed by IBM, widely used for high-performance, scalable data storage and transaction processing across mainframe, distributed, and cloud environments.
-
D.
SIGMOD
SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
-
E.
UCSD p-System
UCSD p-System is a portable operating system and programming environment based on the Pascal language and p-code virtual machine, widely used in the late 1970s and early 1980s across multiple hardware platforms.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
relational database management system
ⓘ
software system ⓘ |
| academicAdvisor | Michael Stonebraker ⓘ |
| academicField | computer science ⓘ |
| academicProjectAt | University of California, Berkeley ⓘ |
| basedOn | relational model ⓘ |
| commercializedBy |
Ingres Corporation
ⓘ
Relational Technology Inc. ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| developer |
Eugene Wong
ⓘ
Michael Stonebraker ⓘ Department of Electrical Engineering and Computer Sciences, UC Berkeley ⓘ
surface form:
UC Berkeley Computer Science Department
University of California, Berkeley ⓘ |
| feature |
client-server architecture
ⓘ
concurrency control ⓘ embedded query language support ⓘ integrity constraints ⓘ logging and recovery ⓘ query optimizer ⓘ relational algebra-based query processing ⓘ transactions ⓘ views ⓘ |
| hasComponent |
catalog manager
ⓘ
query processor ⓘ storage manager ⓘ transaction manager ⓘ |
| hasSuccessor | Postgres relational database system ⓘ |
| implements |
QUEL query language
ⓘ
SQL-like query language ⓘ |
| influenced |
Ingres Corporation commercial products
ⓘ
SQL Server ⓘ
surface form:
Microsoft SQL Server
PostgreSQL ⓘ
surface form:
Postgres
Sybase ⓘ INGRES relational database system self-linksurface differs ⓘ
surface form:
open source Ingres / Actian X
relational database industry ⓘ |
| inspiredBy | System R ⓘ |
| license | initially academic / research distribution ⓘ |
| notableFor |
influencing commercial relational databases
ⓘ
pioneering relational DBMS concepts ⓘ |
| notablePublication | ACM SIGMOD and VLDB papers describing INGRES ⓘ |
| operatingSystem |
DEC UNIX variants
ⓘ
Unix ⓘ
surface form:
UNIX
VMS ⓘ
surface form:
VAX/VMS
|
| programmingLanguage | C ⓘ |
| researchArea |
database systems
ⓘ
relational databases ⓘ |
| startDate | early 1970s ⓘ |
| usedIn |
early commercial applications
ⓘ
university research projects ⓘ |
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: INGRES relational database system Description of subject: INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
INGRES relational database system
→
influenced
→
INGRES relational database system
self-linksurface differs
ⓘ
this entity surface form:
open source Ingres / Actian X
this entity surface form:
Ingres relational database system
this entity surface form:
Ingres relational database management system
this entity surface form:
Ingres research database system
this entity surface form:
Ingres DBMS engine