Yet Another Markup Language
E754594
Yet Another Markup Language is a human-readable data serialization format commonly used for configuration files and data exchange in programming and DevOps environments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yet Another Markup Language canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8756080 — 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: Yet Another Markup Language Context triple: [YAML, previouslyStoodFor, Yet Another Markup Language]
-
A.
Extensible Application Markup Language
Extensible Application Markup Language is a Microsoft-developed XML-based language used primarily to define user interfaces and workflows in technologies like WPF, UWP, and Silverlight.
-
B.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
-
C.
HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
D.
CommonMark
CommonMark is a standardized, highly compatible specification of Markdown syntax designed to eliminate ambiguities and ensure consistent rendering across different implementations.
-
E.
XHTML
XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
- 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: Yet Another Markup Language Target entity description: Yet Another Markup Language is a human-readable data serialization format commonly used for configuration files and data exchange in programming and DevOps environments.
-
A.
Extensible Application Markup Language
Extensible Application Markup Language is a Microsoft-developed XML-based language used primarily to define user interfaces and workflows in technologies like WPF, UWP, and Silverlight.
-
B.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
-
C.
HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
D.
CommonMark
CommonMark is a standardized, highly compatible specification of Markdown syntax designed to eliminate ambiguities and ensure consistent rendering across different implementations.
-
E.
XHTML
XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
- F. None of above. chosen
Statements (59)
| Predicate | Object |
|---|---|
| instanceOf |
data serialization format
ⓘ
human-readable format ⓘ markup-related language ⓘ |
| abbreviation | YAML NERFINISHED ⓘ |
| alsoKnownAs | YAML Ain’t Markup Language NERFINISHED ⓘ |
| commonlyEditedWith | text editors ⓘ |
| designedFor |
configuration files
ⓘ
data exchange ⓘ data serialization ⓘ |
| fileExtension |
.yaml
ⓘ
.yml ⓘ |
| governedBy | YAML language specification NERFINISHED ⓘ |
| hasProperty |
human-readable
ⓘ
language-agnostic ⓘ supports comments ⓘ supports complex data structures ⓘ supports key-value mappings ⓘ supports lists ⓘ supports nested data ⓘ whitespace-sensitive ⓘ |
| influenced |
Ansible playbook format
NERFINISHED
ⓘ
CloudFormation template syntax ⓘ Docker Compose file format ⓘ GitHub Actions workflow syntax NERFINISHED ⓘ Kubernetes manifest format ⓘ |
| influencedBy |
JSON
NERFINISHED
ⓘ
SDL (Simple Declarative Language) NERFINISHED ⓘ XML NERFINISHED ⓘ |
| parsesTo | native data structures in many programming languages ⓘ |
| serializationAlternativeTo |
INI
ⓘ
JSON NERFINISHED ⓘ TOML NERFINISHED ⓘ XML NERFINISHED ⓘ |
| standardizedAs |
YAML 1.1
NERFINISHED
ⓘ
YAML 1.2 NERFINISHED ⓘ |
| supports |
aliases
ⓘ
anchors ⓘ block literals ⓘ folded style strings ⓘ mappings ⓘ multi-document streams ⓘ references ⓘ scalars ⓘ sequences ⓘ |
| usedBy |
Ansible
NERFINISHED
ⓘ
Azure Pipelines NERFINISHED ⓘ CircleCI NERFINISHED ⓘ Docker Compose NERFINISHED ⓘ GitHub Actions NERFINISHED ⓘ Kubernetes NERFINISHED ⓘ OpenAPI Specification NERFINISHED ⓘ Travis CI NERFINISHED ⓘ |
| usedIn |
DevOps
NERFINISHED
ⓘ
container orchestration ⓘ continuous delivery ⓘ continuous integration ⓘ infrastructure as code ⓘ software configuration management ⓘ web application configuration ⓘ |
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: Yet Another Markup Language Description of subject: Yet Another Markup Language is a human-readable data serialization format commonly used for configuration files and data exchange in programming and DevOps environments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.