Locale Data Markup Language
E625237
Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Intlcfg | 1 |
| Locale Data Markup Language canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6885921 — 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: Locale Data Markup Language Context triple: [Unicode Technical Standard #35, defines, Locale Data Markup Language]
-
A.
Unicode CLDR
Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
-
B.
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.
-
C.
ISO 15924
ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
-
D.
CLDR Technical Committee
The CLDR Technical Committee is the Unicode Consortium group responsible for developing and maintaining the Common Locale Data Repository, the standard source of locale data used in internationalization and localization.
-
E.
Content-Language
Content-Language is an HTTP header field that indicates the natural language(s) intended for the audience of the enclosed content.
- 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: Locale Data Markup Language Target entity description: Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
-
A.
Unicode CLDR
Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
-
B.
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.
-
C.
ISO 15924
ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
-
D.
CLDR Technical Committee
The CLDR Technical Committee is the Unicode Consortium group responsible for developing and maintaining the Common Locale Data Repository, the standard source of locale data used in internationalization and localization.
-
E.
Content-Language
Content-Language is an HTTP header field that indicates the natural language(s) intended for the audience of the enclosed content.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
XML-based standard
ⓘ
locale data specification ⓘ |
| abbreviation | LDML NERFINISHED ⓘ |
| acronymOf | Locale Data Markup Language NERFINISHED ⓘ |
| basedOn | Unicode standards NERFINISHED ⓘ |
| dataModel | hierarchical XML structure ⓘ |
| defines |
XML elements for locale resources
ⓘ
attributes for locale data ⓘ fallback mechanisms for locale data ⓘ inheritance model for locale data ⓘ structure for locale data ⓘ |
| domain |
internationalization engineering
ⓘ
software localization ⓘ |
| hasComponent |
collations element
ⓘ
dates element ⓘ identity element ⓘ ldml root element ⓘ localeDisplayNames element ⓘ numbers element ⓘ units element ⓘ |
| maintainedBy | Unicode Consortium NERFINISHED ⓘ |
| purpose |
represent locale-specific data
ⓘ
support internationalization ⓘ support localization ⓘ |
| relatedTo | Common Locale Data Repository NERFINISHED ⓘ |
| represents |
calendar data
ⓘ
collation rules ⓘ currency formats ⓘ date formats ⓘ language formats ⓘ list patterns ⓘ locale identifiers ⓘ measurement system data ⓘ number formats ⓘ plural rules ⓘ time formats ⓘ time zone data ⓘ |
| standardType | data representation standard ⓘ |
| supports |
language and region variants
ⓘ
locale inheritance ⓘ multiple calendars ⓘ multiple numbering systems ⓘ |
| usedFor |
globalized applications
ⓘ
localization frameworks ⓘ software internationalization ⓘ |
| usedIn | CLDR NERFINISHED ⓘ |
| usesFormat | XML 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: Locale Data Markup Language Description of subject: Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.