CQL
E605019
CQL (Contextual Query Language) is a formal query language designed for representing and expressing complex search queries in a human-readable, standards-based way, commonly used in information retrieval and library systems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| CQL canonical | 1 |
| Contextual Query Language | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6519606 — 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: CQL Context triple: [SRW, supportsQueryLanguage, CQL]
-
A.
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.
-
B.
KSQL
KSQL is the ICAO airport code for San Carlos Airport, a general aviation facility serving the San Francisco Bay Area in California.
-
C.
Cassandra
Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
-
D.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
E.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
- 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: CQL Target entity description: CQL (Contextual Query Language) is a formal query language designed for representing and expressing complex search queries in a human-readable, standards-based way, commonly used in information retrieval and library systems.
-
A.
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.
-
B.
KSQL
KSQL is the ICAO airport code for San Carlos Airport, a general aviation facility serving the San Francisco Bay Area in California.
-
C.
Cassandra
Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
-
D.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
E.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
formal language
ⓘ
information retrieval standard ⓘ query language ⓘ |
| abbreviationOf | Contextual Query Language NERFINISHED ⓘ |
| aimsTo | bridge human and machine query formulation ⓘ |
| associatedWithStandard |
SRU
NERFINISHED
ⓘ
SRW ⓘ |
| designedFor |
expressing complex search queries
ⓘ
human-readable queries ⓘ information retrieval systems ⓘ library systems ⓘ |
| domain |
information retrieval
ⓘ
library science ⓘ |
| fullName | Contextual Query Language NERFINISHED ⓘ |
| hasBooleanOperatorExample |
and
ⓘ
not ⓘ or ⓘ |
| hasComponent |
indexes
ⓘ
modifiers ⓘ relations ⓘ search terms ⓘ |
| hasDesignGoal |
human readability
ⓘ
simplicity ⓘ standards-based interoperability ⓘ |
| hasFeature |
contextual search semantics
ⓘ
extensibility ⓘ formal semantics ⓘ human-readable syntax ⓘ |
| hasRelationExample |
=
ⓘ
all ⓘ any ⓘ exact ⓘ |
| hasSyntaxElement |
boolean operator
ⓘ
index ⓘ proximity operator ⓘ relation ⓘ search term ⓘ |
| standardizedBy | Library of Congress NERFINISHED ⓘ |
| supports |
boolean operators
ⓘ
fielded searching ⓘ index-based searching ⓘ modifiers ⓘ proximity searching ⓘ relational operators ⓘ |
| usedAs |
query language for SRU
ⓘ
query language for SRW ⓘ |
| usedIn |
digital libraries
ⓘ
information retrieval applications ⓘ library catalogs ⓘ |
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: CQL Description of subject: CQL (Contextual Query Language) is a formal query language designed for representing and expressing complex search queries in a human-readable, standards-based way, commonly used in information retrieval and library systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.