Jsonnet
E699335
Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jsonnet canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7939884 — 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: Jsonnet Context triple: [Argo CD, supports, Jsonnet]
-
A.
JSON5
JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
-
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.
JSNN
JSNN is a graduate-level academic and research institution focused on nanoscience and nanoengineering, jointly operated by North Carolina A&T State University and the University of North Carolina at Greensboro.
-
D.
HJSON
HJSON is a human-friendly extension of JSON that relaxes its strict syntax to allow comments, unquoted keys, and other conveniences for easier configuration editing.
-
E.
JSONiq
JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
- 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: Jsonnet Target entity description: Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
-
A.
JSON5
JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
-
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.
JSNN
JSNN is a graduate-level academic and research institution focused on nanoscience and nanoengineering, jointly operated by North Carolina A&T State University and the University of North Carolina at Greensboro.
-
D.
HJSON
HJSON is a human-friendly extension of JSON that relaxes its strict syntax to allow comments, unquoted keys, and other conveniences for easier configuration editing.
-
E.
JSONiq
JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
configuration language
ⓘ
data templating language ⓘ domain-specific language ⓘ |
| allows |
abstraction in configuration files
ⓘ
code reuse in configuration files ⓘ parameterization of configuration ⓘ |
| designedFor |
defining structured JSON
ⓘ
generating JSON configuration files ⓘ programmatic configuration management ⓘ |
| domain |
configuration management
ⓘ
infrastructure as code ⓘ |
| extends | JSON syntax ⓘ |
| hasFeature |
arrays
ⓘ
conditionals ⓘ functions ⓘ imports ⓘ mixins ⓘ object inheritance ⓘ objects ⓘ standard library ⓘ variables ⓘ |
| hasImplementation |
C++ implementation
ⓘ
Go implementation ⓘ Java bindings ⓘ Python bindings ⓘ |
| hasStandardLibraryFunction |
std.filter
ⓘ
std.join ⓘ std.manifestYamlDoc ⓘ std.map ⓘ |
| hasTool | jsonnet command-line interpreter ⓘ |
| isSupersetOf | JSON NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| outputFormat | JSON NERFINISHED ⓘ |
| paradigm |
declarative
ⓘ
expression-oriented ⓘ functional ⓘ |
| supports |
JSON generation
ⓘ
YAML generation via external tools ⓘ comments in configuration files ⓘ comprehensions ⓘ importing other Jsonnet files ⓘ importing raw JSON files ⓘ local variables ⓘ string interpolation ⓘ |
| usedFor |
Kubernetes configuration
ⓘ
application configuration ⓘ infrastructure configuration ⓘ |
| usedWith |
Grafana dashboards configuration
ⓘ
Tanka NERFINISHED ⓘ ksonnet 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: Jsonnet Description of subject: Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.