Meta Language
E554872
Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Meta Language canonical | 1 |
| Meta Language (ML) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5923884 — 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: Meta Language Context triple: [ML, hasAbbreviationFor, Meta Language]
-
A.
SSH Language Tags
SSH Language Tags are standardized identifiers used within the SSH protocol to specify human languages for messages and data, enabling proper localization and internationalization.
-
B.
Content-Language
Content-Language is an HTTP header field that indicates the natural language(s) intended for the audience of the enclosed content.
-
C.
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.
-
D.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
E.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
- 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: Meta Language Target entity description: Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
-
A.
SSH Language Tags
SSH Language Tags are standardized identifiers used within the SSH protocol to specify human languages for messages and data, enabling proper localization and internationalization.
-
B.
Content-Language
Content-Language is an HTTP header field that indicates the natural language(s) intended for the audience of the enclosed content.
-
C.
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.
-
D.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
E.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | formal specification language ⓘ |
| basedOn | formal logic ⓘ |
| domain |
logical systems
ⓘ
programming languages ⓘ |
| enables |
reasoning about logical systems
ⓘ
reasoning about programming languages ⓘ verification of language properties ⓘ |
| goal |
provide precise description of language semantics
ⓘ
provide precise description of language syntax ⓘ |
| hasProperty |
machine-processable
ⓘ
mathematically rigorous ⓘ |
| relatedTo |
formal methods
ⓘ
formal semantics ⓘ formal syntax ⓘ metalanguage ⓘ programming language theory ⓘ |
| supports |
manipulation of formal semantics
ⓘ
manipulation of formal syntax ⓘ |
| type | formal language ⓘ |
| usedFor |
defining semantics of logical systems
ⓘ
defining semantics of programming languages ⓘ defining syntax of logical systems ⓘ defining syntax of programming languages ⓘ |
| usedIn |
formal specification of logics
ⓘ
formal specification of programming languages ⓘ |
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: Meta Language Description of subject: Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Meta Language