CA-NL
E139839
CA-NL is the ISO 3166-2 subdivision code representing the Canadian province of Newfoundland and Labrador.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CA-NL canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1216623 — 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: CA-NL Context triple: [Newfoundland and Labrador, ISOCode, CA-NL]
-
A.
New Brunswick, Canada
New Brunswick, Canada is a maritime province on the Atlantic coast known for its bilingual English-French culture, extensive forests, and the Bay of Fundy’s dramatic tides.
-
B.
Kanata—Carleton
Kanata—Carleton is a Canadian federal electoral district in Ontario that includes the western suburbs and rural areas of Ottawa.
-
C.
Ontario
Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
-
D.
Ontario
Ontario is a city in southwestern San Bernardino County, California, known as a major logistics and transportation hub anchored by Ontario International Airport and extensive freeway and rail connections.
-
E.
CANADIAN
CANADIAN was the radio callsign used by Canadian Airlines for its commercial flight operations.
- 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: CA-NL Target entity description: CA-NL is the ISO 3166-2 subdivision code representing the Canadian province of Newfoundland and Labrador.
-
A.
New Brunswick, Canada
New Brunswick, Canada is a maritime province on the Atlantic coast known for its bilingual English-French culture, extensive forests, and the Bay of Fundy’s dramatic tides.
-
B.
Kanata—Carleton
Kanata—Carleton is a Canadian federal electoral district in Ontario that includes the western suburbs and rural areas of Ottawa.
-
C.
Ontario
Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
-
D.
Ontario
Ontario is a city in southwestern San Bernardino County, California, known as a major logistics and transportation hub anchored by Ontario International Airport and extensive freeway and rail connections.
-
E.
CANADIAN
CANADIAN was the radio callsign used by Canadian Airlines for its commercial flight operations.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 3166-2 subdivision code
ⓘ
geocode ⓘ |
| alpha2CountryCode | CA ⓘ |
| appliesToRegion |
Labrador
ⓘ
island of Newfoundland ⓘ
surface form:
Newfoundland
|
| codeFormat | CA-XX ⓘ |
| codeSpace | ISO 3166-2:CA ⓘ |
| countryCode | CA ⓘ |
| governsTerritoryType | province-level subdivision ⓘ |
| hasParentSubdivisionSet | ISO 3166-2:CA ⓘ |
| hasSubdivisionTypeCode | province code ⓘ |
| languageOfOfficialNames |
English
ⓘ
French ⓘ |
| maintainedBy |
ISO 3166 Maintenance Agency
ⓘ
International Organization for Standardization ⓘ |
| partOfStandard | ISO 3166 ⓘ |
| represents | Newfoundland and Labrador ⓘ |
| representsSubdivisionOf | Canada ⓘ |
| standard |
ISO 3166
ⓘ
surface form:
ISO 3166-2
|
| status | active ⓘ |
| subdivisionCategory | province ⓘ |
| subdivisionCode | NL ⓘ |
| subdivisionName | Newfoundland and Labrador ⓘ |
| subdivisionName_en | Newfoundland and Labrador ⓘ |
| subdivisionName_fr |
Newfoundland and Labrador
ⓘ
surface form:
Terre-Neuve-et-Labrador
|
| usedFor |
addressing
ⓘ
geocoding ⓘ international data exchange ⓘ statistics ⓘ |
| usedIn | Canada ⓘ |
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: CA-NL Description of subject: CA-NL is the ISO 3166-2 subdivision code representing the Canadian province of Newfoundland and Labrador.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.