JSONiq
E127256
JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
All labels observed (3)
| Label | Occurrences |
|---|---|
| JSONiq canonical | 2 |
| JSONiq Data Model | 1 |
| JSONiq Language Specification | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1096510 — 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: JSONiq Context triple: [XQuery, influenced, JSONiq]
-
A.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
B.
JSON
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
-
C.
JSON API
JSON API is a standardized specification for building JSON-based RESTful APIs that defines how clients should request and modify resources in a consistent, structured format.
-
D.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
E.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
- 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: JSONiq Target entity description: JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
-
A.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
B.
JSON
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
-
C.
JSON API
JSON API is a standardized specification for building JSON-based RESTful APIs that defines how clients should request and modify resources in a consistent, structured format.
-
D.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
E.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
JSON query language
ⓘ
programming language ⓘ query language ⓘ |
| canBeUsedFor |
analytics over JSON
ⓘ
integrating heterogeneous data ⓘ querying JSON documents ⓘ transforming JSON data ⓘ |
| designedFor | JSON data ⓘ |
| extendsConceptsFrom | XQuery ⓘ |
| hasAbbreviation | JSONiq ⓘ |
| hasDataModel |
JSONiq Data Model
ⓘ
linked to:
JSONiq
|
| hasDesignGoal |
bring XQuery power to JSON
ⓘ
support semi-structured information ⓘ work natively with JSON structures ⓘ |
| hasFeature |
composability of queries
ⓘ
declarative semantics ⓘ functional programming constructs ⓘ |
| hasOfficialWebsite | http://www.jsoniq.org/ ⓘ |
| hasSerializationFormat |
JSON
ⓘ
XML ⓘ text ⓘ |
| hasSpecification |
JSONiq Language Specification
ⓘ
linked to:
JSONiq
|
| hasSyntaxStyle | expression-oriented ⓘ |
| inspiredBy | XQuery ⓘ |
| relatedStandard | XQuery ⓘ |
| relatedTechnology |
JSONPath
ⓘ
XPath ⓘ |
| supports |
FLWOR expressions
ⓘ
arrays ⓘ construction of JSON values ⓘ dynamic typing ⓘ filtering ⓘ functions ⓘ grouping ⓘ higher-order functions ⓘ joins ⓘ modules ⓘ objects ⓘ path expressions ⓘ projection ⓘ sequences ⓘ sorting ⓘ static typing ⓘ updates ⓘ |
| supportsDataModel |
hierarchical data
ⓘ
semi-structured data ⓘ |
| usedIn |
NoSQL databases
ⓘ
data integration systems ⓘ document stores ⓘ |
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: JSONiq Description of subject: JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: JSONiq
linked to: JSONiq