CREA corpus
E85775
The CREA corpus is a large, authoritative reference collection of contemporary Spanish language usage compiled for linguistic and lexicographic research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CREA corpus canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T700480 — 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: CREA corpus Context triple: [RAE, maintains, CREA corpus]
-
A.
C-text
C-text is one of the principal textual versions of the Middle English allegorical poem *Piers Plowman*, representing a distinct editorial and manuscript tradition within its complex transmission history.
-
B.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
C.
NLG
NLG was the ISO 4217 currency code for the Dutch guilder, the former national currency of the Netherlands before the adoption of the euro.
-
D.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
-
E.
CRL
CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
- 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: CREA corpus Target entity description: The CREA corpus is a large, authoritative reference collection of contemporary Spanish language usage compiled for linguistic and lexicographic research.
-
A.
C-text
C-text is one of the principal textual versions of the Middle English allegorical poem *Piers Plowman*, representing a distinct editorial and manuscript tradition within its complex transmission history.
-
B.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
C.
NLG
NLG was the ISO 4217 currency code for the Dutch guilder, the former national currency of the Netherlands before the adoption of the euro.
-
D.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
-
E.
CRL
CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
Spanish language corpus
ⓘ
linguistic corpus ⓘ reference corpus ⓘ |
| access | online query interface ⓘ |
| acronym | CREA ⓘ |
| authority | official reference corpus of the Real Academia Española ⓘ |
| compiledBy |
Real Academia Española
ⓘ
linked to:
Royal Spanish Academy
|
| contains |
spoken texts
ⓘ
written texts ⓘ |
| countryOfOrigin | Spain ⓘ |
| dataSource |
books
ⓘ
magazines ⓘ newspapers ⓘ spoken recordings ⓘ |
| distinguishedFrom | historical corpora of Spanish ⓘ |
| domain | general language ⓘ |
| focus | contemporary Spanish ⓘ |
| language | Spanish ⓘ |
| maintainedBy |
Real Academia Española
ⓘ
linked to:
Royal Spanish Academy
|
| name | Corpus de Referencia del Español Actual ⓘ |
| purpose | authoritative reference for Spanish usage ⓘ |
| registerCoverage |
spoken Spanish
ⓘ
written Spanish ⓘ |
| relatedTo | CORDE corpus ⓘ |
| temporalCoverage |
early 21st century Spanish
ⓘ
late 20th century Spanish ⓘ |
| type | monolingual corpus ⓘ |
| use |
lexicographic research
ⓘ
linguistic research ⓘ |
| usedFor |
collocation analysis
ⓘ
frequency analysis ⓘ grammar studies ⓘ language variation studies ⓘ lexicography ⓘ semantic studies ⓘ |
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: CREA corpus Description of subject: The CREA corpus is a large, authoritative reference collection of contemporary Spanish language usage compiled for linguistic and lexicographic research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.