SVO
E808918
SVO is the station code used to identify Square Victoria–OACI, a Montreal Metro station on the Orange Line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SVO canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9598118 — 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: SVO Context triple: [Square Victoria–OACI station, hasCode, SVO]
-
A.
SVO
SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
-
B.
SOV
SOV is the National Rail station code for Southend Victoria railway station in Southend-on-Sea, Essex, England.
-
C.
FSVO
FSVO is the Swiss federal authority responsible for overseeing food safety, animal health, and animal welfare in Switzerland.
-
D.
SOU
SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
-
E.
SOU
SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
- 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: SVO Target entity description: SVO is the station code used to identify Square Victoria–OACI, a Montreal Metro station on the Orange Line.
-
A.
SVO
SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
-
B.
SOV
SOV is the National Rail station code for Southend Victoria railway station in Southend-on-Sea, Essex, England.
-
C.
FSVO
FSVO is the Swiss federal authority responsible for overseeing food safety, animal health, and animal welfare in Switzerland.
-
D.
SOU
SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
-
E.
SOU
SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
metro station code
ⓘ
public transport station identifier ⓘ |
| appliesTo |
Square Victoria–OACI Montreal Metro station
ⓘ
linked to:
Square Victoria–OACI station
|
| codeType | station code ⓘ |
| fareSystem | ARTM fare system ⓘ |
| fareZone | Zone A (Greater Montreal core) ⓘ |
| hasLanguageContext | French ⓘ |
| identifies |
Square Victoria–OACI
ⓘ
linked to:
Square Victoria
|
| line | Orange Line ⓘ |
| locatedInCity | Montreal ⓘ |
| locatedInCountry | Canada ⓘ |
| locatedInProvince |
Quebec
ⓘ
linked to:
Quebec, Canada
|
| locatedInSystem |
Montreal Metro Orange Line
ⓘ
linked to:
Orange Line (Montreal Metro)
|
| networkOperator | Société de transport de Montréal ⓘ |
| transportMode | metro ⓘ |
| usedBy | Montreal Metro ⓘ |
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: SVO Description of subject: SVO is the station code used to identify Square Victoria–OACI, a Montreal Metro station on the Orange Line.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.