UCA
E146195
UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
All labels observed (1)
| Label | Occurrences |
|---|---|
| UCA canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1281522 — 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: UCA Context triple: [Unicode Technical Standard #10, abbreviation, UCA]
-
A.
CEPT University
CEPT University is a leading Indian institution in Ahmedabad renowned for its programs in architecture, planning, design, and built environment studies.
-
B.
UCEI
UCEI is the acronym for the Union of Italian Jewish Communities, the central organization representing and coordinating Jewish communities throughout Italy.
-
C.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
D.
ACU
ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
-
E.
ACU
ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
- 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: UCA Target entity description: UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
-
A.
CEPT University
CEPT University is a leading Indian institution in Ahmedabad renowned for its programs in architecture, planning, design, and built environment studies.
-
B.
UCEI
UCEI is the acronym for the Union of Italian Jewish Communities, the central organization representing and coordinating Jewish communities throughout Italy.
-
C.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
D.
ACU
ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
-
E.
ACU
ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Unicode standard
ⓘ
Unicode standard ⓘ collation algorithm ⓘ collation algorithm ⓘ |
| abbreviation | UCA self-linksurface differs ⓘ |
| appliesTo | Unicode text ⓘ |
| category |
internationalization
ⓘ
text processing ⓘ |
| compatibleWith | Unicode code points ⓘ |
| definedBy | Unicode Consortium ⓘ |
| defines |
method for comparing Unicode text
ⓘ
method for ordering Unicode text ⓘ |
| distinguishes |
base letters
ⓘ
case differences ⓘ diacritics ⓘ punctuation ⓘ |
| ensures | consistent collation across platforms ⓘ |
| firstPublishedBy | Unicode Consortium ⓘ |
| fullName |
Unicode Technical Standard #10
ⓘ
surface form:
Unicode Collation Algorithm
|
| hasSpecification | Default Unicode Collation Element Table ⓘ |
| identifier | UTS #10 ⓘ |
| partOf |
Unicode
ⓘ
surface form:
Unicode Standard
|
| relatedConcept |
canonical equivalence
ⓘ
locale-sensitive sorting ⓘ normalization ⓘ |
| relatedStandard |
Unicode CLDR
ⓘ
surface form:
CLDR
ICU ⓘ |
| scope | language-independent ⓘ |
| shortName | DUCET ⓘ |
| standardizedIn | Unicode Technical Standard #10 ⓘ |
| supports |
custom collation rules
ⓘ
identical collation level ⓘ locale-specific tailoring ⓘ multi-level comparison ⓘ primary collation level ⓘ quaternary collation level ⓘ secondary collation level ⓘ tertiary collation level ⓘ |
| useCase |
searching text
ⓘ
sorting text ⓘ string comparison ⓘ |
| usedIn |
databases
ⓘ
operating systems ⓘ programming languages ⓘ search engines ⓘ |
| uses |
collation elements
ⓘ
collation levels ⓘ collation weights ⓘ |
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: UCA Description of subject: UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Unicode Collation Algorithm