UTS #10
E146194
UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| UTS #10 canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1281520 — 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: UTS #10 Context triple: [Unicode Technical Standard #10, shortName, UTS #10]
-
A.
UTR #29
UTR #29 is a Unicode Technical Report that defines the standard rules and algorithms for text segmentation, such as determining grapheme clusters, words, and sentences in Unicode text.
-
B.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
C.
UGT
UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
-
D.
Uatsdin
Uatsdin is the modern revival of the indigenous Ossetian ethnic religion, centered on traditional deities, rituals, and ancestral customs of the Ossetian people.
-
E.
Tus
Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
- 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: UTS #10 Target entity description: UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
-
A.
UTR #29
UTR #29 is a Unicode Technical Report that defines the standard rules and algorithms for text segmentation, such as determining grapheme clusters, words, and sentences in Unicode text.
-
B.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
C.
UGT
UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
-
D.
Uatsdin
Uatsdin is the modern revival of the indigenous Ossetian ethnic religion, centered on traditional deities, rituals, and ancestral customs of the Ossetian people.
-
E.
Tus
Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Unicode Technical Standard
ⓘ
technical specification ⓘ |
| appliesTo |
Unicode text
ⓘ
multilingual text processing ⓘ |
| conformsWith | Unicode Character Database ⓘ |
| defines |
Unicode Collation Algorithm
ⓘ
linked to:
Unicode Technical Standard #10
collation elements ⓘ collation levels ⓘ collation weights ⓘ rules for comparing Unicode strings ⓘ rules for sorting Unicode strings ⓘ tailoring of collation for locales ⓘ |
| documentType | online technical report ⓘ |
| hasAbbreviation | UCA ⓘ |
| hasGoal |
consistent comparison of Unicode text
ⓘ
consistent sorting of Unicode text ⓘ language-independent collation base ⓘ |
| hasIdentifier | UTS #10 ⓘ |
| hasProperty |
backwards compatibility across versions
ⓘ
customizable per language or locale ⓘ language-neutral core ordering ⓘ stable collation keys ⓘ |
| hasScope | all Unicode code points ⓘ |
| hasTitle |
Unicode Collation Algorithm
ⓘ
linked to:
Unicode Technical Standard #10
|
| hasVersioning | synchronized with Unicode versions ⓘ |
| influences |
sorting behavior in databases
ⓘ
sorting behavior in operating systems ⓘ sorting behavior in programming languages ⓘ |
| partOf |
Unicode Standard ecosystem
ⓘ
linked to:
Unicode Standard Annexes
|
| publishedBy | Unicode Consortium ⓘ |
| relatedTo |
CLDR
ⓘ
linked to:
Unicode CLDR
ICU ⓘ
linked to:
Intensive Care Unit
Unicode Standard ⓘ
linked to:
Unicode
|
| specifies |
default Unicode collation order
ⓘ
normalization handling in collation ⓘ treatment of case differences in collation ⓘ treatment of combining marks in collation ⓘ treatment of punctuation in collation ⓘ treatment of scripts in collation ⓘ treatment of symbols in collation ⓘ |
| supports | locale-specific collation tailoring ⓘ |
| updatedBy | periodic Unicode Technical Standard revisions ⓘ |
| usedFor |
database sorting
ⓘ
file and record ordering ⓘ search and indexing ⓘ user interface sorting ⓘ |
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: UTS #10 Description of subject: UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.