Memcached
E430984
Memcached is a high-performance, distributed in-memory caching system commonly used to speed up dynamic web applications by reducing database load.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Memcached canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4325651 — 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: Memcached Context triple: [Flask-Caching, supportsBackend, Memcached]
-
A.
Redis
Redis is an in-memory data structure store commonly used as a database, cache, and message broker known for its high performance and low latency.
-
B.
Amazon ElastiCache
Amazon ElastiCache is a fully managed in-memory data store and caching service that improves application performance by enabling fast, sub-millisecond data retrieval.
-
C.
Apache Cassandra
Apache Cassandra is a highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers with high availability and no single point of failure.
-
D.
Skycouch
Skycouch is Air New Zealand’s reconfigurable economy-class seating system that converts a row of seats into a flat, couch-like surface for greater comfort on long-haul flights.
-
E.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
- 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: Memcached Target entity description: Memcached is a high-performance, distributed in-memory caching system commonly used to speed up dynamic web applications by reducing database load.
-
A.
Redis
Redis is an in-memory data structure store commonly used as a database, cache, and message broker known for its high performance and low latency.
-
B.
Amazon ElastiCache
Amazon ElastiCache is a fully managed in-memory data store and caching service that improves application performance by enabling fast, sub-millisecond data retrieval.
-
C.
Apache Cassandra
Apache Cassandra is a highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers with high availability and no single point of failure.
-
D.
Skycouch
Skycouch is Air New Zealand’s reconfigurable economy-class seating system that converts a row of seats into a flat, couch-like surface for greater comfort on long-haul flights.
-
E.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
caching server
ⓘ
distributed memory caching system ⓘ free and open-source software ⓘ key–value store ⓘ |
| architecture | client–server ⓘ |
| communicationProtocol |
TCP
NERFINISHED
ⓘ
UDP NERFINISHED ⓘ |
| dataModel | key–value ⓘ |
| designGoal |
high performance
ⓘ
horizontal scalability ⓘ simplicity ⓘ |
| doesNotProvide |
high availability by itself
ⓘ
persistence ⓘ replication by default ⓘ |
| homepage | https://memcached.org/ ⓘ |
| license | Revised BSD License NERFINISHED ⓘ |
| primaryUse |
reducing database load
ⓘ
speeding up dynamic web applications ⓘ |
| storesDataIn | main memory ⓘ |
| supportsClientLibrariesFor |
C#
ⓘ
Go NERFINISHED ⓘ Java NERFINISHED ⓘ Node.js NERFINISHED ⓘ PHP NERFINISHED ⓘ Python NERFINISHED ⓘ Ruby NERFINISHED ⓘ |
| supportsDeploymentModel | cluster of cache nodes ⓘ |
| supportsFeature |
LRU-based eviction
ⓘ
asynchronous I/O ⓘ sharding across multiple servers ⓘ time-to-live expiration ⓘ |
| supportsOperation |
add
ⓘ
append ⓘ decrement ⓘ delete ⓘ get ⓘ increment ⓘ prepend ⓘ replace ⓘ set ⓘ touch ⓘ |
| supportsProtocol |
binary protocol
ⓘ
text protocol ⓘ |
| typicalUseCase |
caching API responses
ⓘ
caching database query results ⓘ caching rendered HTML fragments ⓘ caching session data ⓘ |
| usedBy | large-scale web applications ⓘ |
| writtenInLanguage | C NERFINISHED ⓘ |
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: Memcached Description of subject: Memcached is a high-performance, distributed in-memory caching system commonly used to speed up dynamic web applications by reducing database load.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.