Unicode Technical Standard #35
E158917
Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Unicode Technical Standard #35 canonical | 3 |
| LDML | 1 |
| Unicode Locale Data Markup Language | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1281553 — 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: Unicode Technical Standard #35 Context triple: [Unicode Technical Standard #10, relatedStandard, Unicode Technical Standard #35]
-
A.
Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
-
B.
Unicode Technical Report #29
Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
-
C.
Unicode Standard Annexes
Unicode Standard Annexes are supplementary technical reports that define detailed specifications, algorithms, and guidelines extending and clarifying the core Unicode Standard.
-
D.
Unicode Consortium
The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
-
E.
Unicode Core Specification
The Unicode Core Specification is the primary technical standard that defines the Unicode character set, its encoding model, and the fundamental rules for representing and processing text in modern computing systems.
- 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: Unicode Technical Standard #35 Target entity description: Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
-
A.
Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
-
B.
Unicode Technical Report #29
Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
-
C.
Unicode Standard Annexes
Unicode Standard Annexes are supplementary technical reports that define detailed specifications, algorithms, and guidelines extending and clarifying the core Unicode Standard.
-
D.
Unicode Consortium
The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
-
E.
Unicode Core Specification
The Unicode Core Specification is the primary technical standard that defines the Unicode character set, its encoding model, and the fundamental rules for representing and processing text in modern computing systems.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Unicode Technical Standard
ⓘ
technical specification ⓘ |
| abbreviation |
LDML
ⓘ
linked to:
Unicode Technical Standard #35
|
| acronym | UTS #35 ⓘ |
| alsoKnownAs |
UTS #35
ⓘ
Unicode Locale Data Markup Language ⓘ
linked to:
Unicode Technical Standard #35
|
| appliesTo |
globalization libraries
ⓘ
localization frameworks ⓘ software internationalization ⓘ |
| defines |
Locale Data Markup Language
ⓘ
XML format for locale data ⓘ calendar field symbols ⓘ collation tailoring rules ⓘ date and time format patterns ⓘ locale extension keys and types ⓘ number and currency format patterns ⓘ pluralization rules ⓘ syntax for locale identifiers ⓘ time zone display patterns ⓘ |
| documentType |
Unicode Technical Standard
ⓘ
linked to:
Unicode Technical Standards
|
| focusesOn |
calendar data
ⓘ
collation ⓘ currency formatting ⓘ date formatting ⓘ internationalization ⓘ locale data ⓘ locale identifiers ⓘ message formatting ⓘ number formatting ⓘ pattern-based formatting ⓘ plural rules ⓘ time formatting ⓘ time zone data ⓘ |
| governs |
interchange format for locale data
ⓘ
structure of CLDR locale data ⓘ |
| hasSection |
LDML core
ⓘ
linked to:
Unicode CLDR
LDML dates ⓘ LDML locale identifiers ⓘ LDML numbers ⓘ |
| hasVersioning | multiple published revisions ⓘ |
| maintainedBy | Unicode Consortium ⓘ |
| partOf | Unicode Technical Standards ⓘ |
| publisher | Unicode Consortium ⓘ |
| relatedTo |
Unicode CLDR
ⓘ
Unicode Standard ⓘ |
| scope |
data-driven internationalization
ⓘ
locale-sensitive services ⓘ |
| standardizes | representation of locale-sensitive data ⓘ |
| status | active technical standard ⓘ |
| usedBy |
Common Locale Data Repository
ⓘ
linked to:
Unicode CLDR
|
| website | https://unicode.org/reports/tr35/ ⓘ |
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: Unicode Technical Standard #35 Description of subject: Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Unicode Technical Standard #35
linked to: Unicode Technical Standard #35