TimesTen
E486214
TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TimesTen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5017424 — 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: TimesTen Context triple: [Oracle GoldenGate, supportsDatabase, TimesTen]
-
A.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
Teradata
Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
-
C.
Relational Technology Inc.
Relational Technology Inc. was a pioneering software company best known for developing and marketing the INGRES relational database system, one of the early commercial SQL-based databases.
-
D.
Nentego
Nentego is the autonym of the Nanticoke people, an Indigenous group historically located in the Mid-Atlantic region of what is now the United States.
-
E.
Sybase
Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
- 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: TimesTen Target entity description: TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
-
A.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
Teradata
Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
-
C.
Relational Technology Inc.
Relational Technology Inc. was a pioneering software company best known for developing and marketing the INGRES relational database system, one of the early commercial SQL-based databases.
-
D.
Nentego
Nentego is the autonym of the Nanticoke people, an Indigenous group historically located in the Mid-Atlantic region of what is now the United States.
-
E.
Sybase
Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
in-memory relational database
ⓘ
relational database management system ⓘ |
| designedFor |
extremely low-latency data management
ⓘ
high-throughput data management ⓘ real-time analytics ⓘ |
| developer | Oracle Corporation NERFINISHED ⓘ |
| feature |
checkpointing
ⓘ
replication for fault tolerance ⓘ row-level locking ⓘ scale-out through grid architectures ⓘ transaction logging ⓘ |
| hasComponent |
TimesTen Application-Tier Database Cache
NERFINISHED
ⓘ
TimesTen In-Memory Database NERFINISHED ⓘ |
| integrationWith |
Oracle Database
NERFINISHED
ⓘ
Oracle GoldenGate NERFINISHED ⓘ Oracle Real Application Clusters NERFINISHED ⓘ |
| marketedAs | Oracle TimesTen In-Memory Database NERFINISHED ⓘ |
| optimizedFor |
OLTP workloads
ⓘ
real-time event processing ⓘ sub-millisecond response time ⓘ |
| persistenceModel | in-memory with disk persistence options ⓘ |
| primaryStorage | main memory ⓘ |
| supportsFeature |
ACID transactions
ⓘ
SQL queries ⓘ cache grid ⓘ high availability ⓘ in-memory caching of Oracle Database data ⓘ replication ⓘ stored procedures ⓘ |
| supportsInterface |
.NET
NERFINISHED
ⓘ
JDBC NERFINISHED ⓘ OCI NERFINISHED ⓘ ODBC NERFINISHED ⓘ |
| supportsLanguage | SQL NERFINISHED ⓘ |
| supportsModel | relational model ⓘ |
| supportsPlatform |
Linux
ⓘ
Microsoft Windows NERFINISHED ⓘ Oracle Solaris NERFINISHED ⓘ |
| supportsProgrammingLanguage |
C
NERFINISHED
ⓘ
C# NERFINISHED ⓘ C++ NERFINISHED ⓘ Java NERFINISHED ⓘ PL/SQL NERFINISHED ⓘ |
| useCase |
financial trading systems
ⓘ
network monitoring ⓘ real-time recommendation engines ⓘ session management ⓘ telecommunications billing ⓘ |
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: TimesTen Description of subject: TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.