HAL (Hypertext Application Language)
E427622
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.
All labels observed (2)
| Label | Occurrences |
|---|---|
| HAL (Hypertext Application Language) canonical | 1 |
| Hypertext Application Language | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4278193 — 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: HAL (Hypertext Application Language) Context triple: [JSON API, relatedTo, HAL (Hypertext Application Language)]
-
A.
Hixie
Hixie is the online handle of Ian Hickson, a prominent web standards editor and software engineer known for his work on HTML and related web technologies.
-
B.
HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
C.
Hack (programming language)
Hack is a programming language developed by Facebook as a gradually typed, PHP-compatible language that adds static typing, generics, and other modern features for safer and more scalable web development.
-
D.
WorldWideWeb (web browser)
WorldWideWeb was the first web browser and editor, created in 1990 as the original client for navigating and editing content on the World Wide Web.
-
E.
Xanadu hypertext system
The Xanadu hypertext system is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, bidirectionally linked, non-destructive document publishing and versioning system.
- 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: HAL (Hypertext Application Language) Target entity description: 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.
-
A.
Hixie
Hixie is the online handle of Ian Hickson, a prominent web standards editor and software engineer known for his work on HTML and related web technologies.
-
B.
HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
C.
Hack (programming language)
Hack is a programming language developed by Facebook as a gradually typed, PHP-compatible language that adds static typing, generics, and other modern features for safer and more scalable web development.
-
D.
WorldWideWeb (web browser)
WorldWideWeb was the first web browser and editor, created in 1990 as the original client for navigating and editing content on the World Wide Web.
-
E.
Xanadu hypertext system
The Xanadu hypertext system is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, bidirectionally linked, non-destructive document publishing and versioning system.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
JSON-based format
ⓘ
hypermedia format ⓘ media type ⓘ |
| _embeddedSectionPurpose | to represent embedded related resources ⓘ |
| _linksSectionPurpose | to represent links related to the resource ⓘ |
| abbreviation | HAL ⓘ |
| alsoSupports | XML ⓘ |
| category |
REST API representation format
ⓘ
hypermedia-driven API format ⓘ |
| compatibleWith | REST architectural style ⓘ |
| curiesPurpose | to define compact link relation names ⓘ |
| definesSection |
_embedded
ⓘ
_links ⓘ |
| designGoal |
discoverability of resources
ⓘ
interoperability ⓘ simplicity ⓘ |
| emphasizes | consistent link structure across APIs ⓘ |
| enables |
API discoverability through hypermedia
ⓘ
navigation of related resources via links ⓘ |
| focusesOn |
embedded resource representation
ⓘ
link representation ⓘ |
| fullName |
Hypertext Application Language
ⓘ
linked to:
HAL (Hypertext Application Language)
|
| hasConcept | curies ⓘ |
| hasSpecification |
HAL JSON specification
ⓘ
HAL XML specification ⓘ |
| influenced | various API design best practices ⓘ |
| isDesignedToBe |
framework-agnostic
ⓘ
language-agnostic ⓘ |
| linkDeprecationKey | deprecation ⓘ |
| linkHrefKey | href ⓘ |
| linkHreflangKey | hreflang ⓘ |
| linkNameKey | name ⓘ |
| linkProfileKey | profile ⓘ |
| linkRelationKey | rel ⓘ |
| linkTemplatedKey | templated ⓘ |
| linkTitleKey | title ⓘ |
| linkTypeKey | type ⓘ |
| primarySerialization | JSON ⓘ |
| serializationFormat | text-based ⓘ |
| supports |
HATEOAS principles
ⓘ
hypermedia controls ⓘ |
| supportsFeature |
URI templates in links
ⓘ
curies for compact URIs ⓘ multiple links per relation ⓘ |
| typicalMediaType |
application/hal+json
ⓘ
application/hal+xml ⓘ |
| typicalUseCase |
internal microservice APIs
ⓘ
public web APIs ⓘ |
| usedFor |
representing embedded resources in APIs
ⓘ
representing hypermedia in RESTful APIs ⓘ standardizing links in API responses ⓘ |
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: HAL (Hypertext Application Language) Description of subject: 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.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.