UAX #15
E596301
UAX #15 is the Unicode Standard Annex that defines Unicode Normalization Forms and related algorithms for consistent text representation and comparison.
All labels observed (2)
| Label | Occurrences |
|---|---|
| UAX #15 canonical | 1 |
| UAX-?-KʼAWIIL | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6470006 — 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: UAX #15 Context triple: [Normalization_Quick_Check, documentedIn, UAX #15]
-
A.
Unicode Technical Standard #35
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.
-
B.
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.
-
C.
CJK Unified Ideographs Extension G
CJK Unified Ideographs Extension G is a Unicode block that adds a large set of additional Chinese, Japanese, and Korean ideographs, primarily for rare and historical characters.
-
D.
CJK Unified Ideographs extensions
CJK Unified Ideographs extensions are supplementary Unicode blocks that expand the repertoire of Chinese, Japanese, and Korean characters beyond the original unified ideographs set.
-
E.
Unicode Character Database
The Unicode Character Database is a comprehensive collection of machine-readable data files that define the properties, classifications, and behaviors of every character encoded in the Unicode Standard.
- 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: UAX #15 Target entity description: UAX #15 is the Unicode Standard Annex that defines Unicode Normalization Forms and related algorithms for consistent text representation and comparison.
-
A.
Unicode Technical Standard #35
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.
-
B.
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.
-
C.
CJK Unified Ideographs Extension G
CJK Unified Ideographs Extension G is a Unicode block that adds a large set of additional Chinese, Japanese, and Korean ideographs, primarily for rare and historical characters.
-
D.
CJK Unified Ideographs extensions
CJK Unified Ideographs extensions are supplementary Unicode blocks that expand the repertoire of Chinese, Japanese, and Korean characters beyond the original unified ideographs set.
-
E.
Unicode Character Database
The Unicode Character Database is a comprehensive collection of machine-readable data files that define the properties, classifications, and behaviors of every character encoded in the Unicode Standard.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Unicode Standard Annex
ⓘ
technical specification ⓘ |
| alsoKnownAs | Unicode Normalization Forms NERFINISHED ⓘ |
| appliesTo |
Unicode code points
ⓘ
Unicode strings ⓘ |
| defines |
Normalization Form C
NERFINISHED
ⓘ
Normalization Form D NERFINISHED ⓘ Normalization Form KC NERFINISHED ⓘ Normalization Form KD NERFINISHED ⓘ Unicode Normalization Forms NERFINISHED ⓘ algorithms for Unicode normalization ⓘ canonical combining class ordering ⓘ canonical composition ⓘ canonical decomposition ⓘ canonical equivalence ⓘ compatibility decomposition ⓘ compatibility equivalence ⓘ stability policies for normalization ⓘ stream-safe text format for normalization ⓘ |
| ensures | backward compatibility of normalization forms ⓘ |
| fullName | Unicode Standard Annex #15 NERFINISHED ⓘ |
| hasSection |
Conformance
ⓘ
Implementation Notes ⓘ Normalization Forms ⓘ Stability Considerations ⓘ Stream-Safe Text Format NERFINISHED ⓘ |
| includes |
conformance requirements for normalization
ⓘ
normative references to the Unicode Standard ⓘ |
| maintainedBy | Unicode Consortium NERFINISHED ⓘ |
| partOf | The Unicode Standard NERFINISHED ⓘ |
| publishedBy | Unicode Consortium NERFINISHED ⓘ |
| relatedTo |
Unicode Character Database
NERFINISHED
ⓘ
Unicode Standard Annex #29 NERFINISHED ⓘ Unicode Standard Annex #31 NERFINISHED ⓘ |
| standardizes | normalization behavior across Unicode versions ⓘ |
| topic |
Unicode string processing
ⓘ
text comparison ⓘ text normalization ⓘ |
| usedFor |
consistent text representation
ⓘ
interoperability between Unicode implementations ⓘ string comparison ⓘ text indexing ⓘ text searching ⓘ |
| usedIn |
databases
ⓘ
programming languages ⓘ text processing libraries ⓘ web standards ⓘ |
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: UAX #15 Description of subject: UAX #15 is the Unicode Standard Annex that defines Unicode Normalization Forms and related algorithms for consistent text representation and comparison.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
UAX-?-KʼAWIIL