ZeroMQ
E426665
ZeroMQ is a high-performance asynchronous messaging library that provides lightweight, flexible sockets for building scalable distributed and concurrent applications.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T4276967 — 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: ZeroMQ Context triple: [Jupyter Notebook, usesProtocol, ZeroMQ]
-
A.
Apache Kafka
Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
-
B.
Apache Mesos
Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other resources away from machines to enable efficient deployment and scaling of distributed applications and frameworks.
-
C.
JMS
JMS (Java Message Service) is a Java API specification that enables applications to create, send, receive, and read messages in a loosely coupled, asynchronous, and reliable messaging system.
-
D.
Apache ZooKeeper
Apache ZooKeeper is a centralized service for maintaining configuration information, naming, and distributed synchronization in large-scale distributed systems.
-
E.
RDMA
RDMA (Remote Direct Memory Access) is a high-performance networking technology that allows one computer to directly access the memory of another without involving the operating system or CPU, significantly reducing latency and CPU overhead in data transfers.
- 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: ZeroMQ Target entity description: ZeroMQ is a high-performance asynchronous messaging library that provides lightweight, flexible sockets for building scalable distributed and concurrent applications.
-
A.
Apache Kafka
Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
-
B.
Apache Mesos
Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other resources away from machines to enable efficient deployment and scaling of distributed applications and frameworks.
-
C.
JMS
JMS (Java Message Service) is a Java API specification that enables applications to create, send, receive, and read messages in a loosely coupled, asynchronous, and reliable messaging system.
-
D.
Apache ZooKeeper
Apache ZooKeeper is a centralized service for maintaining configuration information, naming, and distributed synchronization in large-scale distributed systems.
-
E.
RDMA
RDMA (Remote Direct Memory Access) is a high-performance networking technology that allows one computer to directly access the memory of another without involving the operating system or CPU, significantly reducing latency and CPU overhead in data transfers.
- F. None of above. chosen
Statements (66)
| Predicate | Object |
|---|---|
| instanceOf |
concurrency framework
ⓘ
messaging library ⓘ open-source software ⓘ |
| hasAlternativeName |
0MQ
NERFINISHED
ⓘ
ØMQ NERFINISHED ⓘ |
| hasBinding |
czmq
NERFINISHED
ⓘ
jzmq NERFINISHED ⓘ pyzmq NERFINISHED ⓘ |
| hasBook | ZeroMQ: Messaging for Many Applications NERFINISHED ⓘ |
| hasComponent |
czmq
NERFINISHED
ⓘ
libzmq NERFINISHED ⓘ malamute ⓘ zyre NERFINISHED ⓘ |
| hasDocumentation | ZeroMQ Guide NERFINISHED ⓘ |
| hasOrganization | ZeroMQ community NERFINISHED ⓘ |
| implementsConcept |
asynchronous messaging
ⓘ
brokerless messaging ⓘ message-oriented middleware ⓘ socket abstraction ⓘ |
| isDesignedFor |
concurrent applications
ⓘ
high-performance messaging ⓘ low-latency communication ⓘ scalable distributed systems ⓘ |
| isWrittenInLanguage | C ⓘ |
| license | LGPL with static linking exception ⓘ |
| providesFeature |
asynchronous I/O model
ⓘ
automatic reconnection ⓘ built-in message batching ⓘ high-level socket API ⓘ message queuing ⓘ multi-part messages ⓘ non-blocking I/O ⓘ |
| supportsPattern |
exclusive pair
ⓘ
pipeline ⓘ publish-subscribe ⓘ push-pull ⓘ request-reply ⓘ |
| supportsPlatform |
BSD
NERFINISHED
ⓘ
Linux ⓘ Unix-like systems ⓘ Windows ⓘ macOS ⓘ |
| supportsProgrammingLanguage |
.NET
NERFINISHED
ⓘ
C NERFINISHED ⓘ C++ NERFINISHED ⓘ Erlang NERFINISHED ⓘ Go NERFINISHED ⓘ Haskell NERFINISHED ⓘ Java NERFINISHED ⓘ Node.js NERFINISHED ⓘ PHP NERFINISHED ⓘ Perl NERFINISHED ⓘ Python NERFINISHED ⓘ Ruby ⓘ Rust NERFINISHED ⓘ Scala NERFINISHED ⓘ |
| supportsTopology |
brokered
ⓘ
brokerless ⓘ client-server ⓘ peer-to-peer ⓘ |
| supportsTransport |
epgm
ⓘ
inproc ⓘ ipc ⓘ pgm ⓘ tcp ⓘ vmci ⓘ |
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: ZeroMQ Description of subject: ZeroMQ is a high-performance asynchronous messaging library that provides lightweight, flexible sockets for building scalable distributed and concurrent applications.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Netty