UTDC ALRV
E499966
The UTDC ALRV is a Canadian-built articulated light rail vehicle model designed for high-capacity streetcar service, notably used by the Toronto Transit Commission.
All labels observed (1)
| Label | Occurrences |
|---|---|
| UTDC ALRV canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5164312 — 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: UTDC ALRV Context triple: [UTDC light rail vehicles, hasModel, UTDC ALRV]
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A.
TUDN
TUDN is a Spanish-language sports television network and media brand focused on soccer and other sports, primarily serving audiences in the United States and Mexico.
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B.
ATLC
ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
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C.
DUT
DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
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D.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
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E.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
- 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: UTDC ALRV Target entity description: The UTDC ALRV is a Canadian-built articulated light rail vehicle model designed for high-capacity streetcar service, notably used by the Toronto Transit Commission.
-
A.
TUDN
TUDN is a Spanish-language sports television network and media brand focused on soccer and other sports, primarily serving audiences in the United States and Mexico.
-
B.
ATLC
ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
-
C.
DUT
DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
-
D.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
E.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
articulated light rail vehicle
ⓘ
streetcar model ⓘ |
| articulationCount | 2 ⓘ |
| countryOfOrigin | Canada ⓘ |
| designedBy | Urban Transportation Development Corporation NERFINISHED ⓘ |
| designedFor | Toronto streetcar system NERFINISHED ⓘ |
| doorType | high-floor doors ⓘ |
| floorType | high-floor ⓘ |
| manufacturer | Urban Transportation Development Corporation NERFINISHED ⓘ |
| notableFor | high passenger capacity for streetcar operations ⓘ |
| numberOfSections | 3 ⓘ |
| operatedBy | Toronto Transit Commission NERFINISHED ⓘ |
| operator | Toronto Transit Commission ⓘ |
| powerCollectionMethod | overhead trolley pole ⓘ |
| precededBy | CLRV ⓘ |
| primaryCityOfOperation | Toronto NERFINISHED ⓘ |
| propulsionType | electric ⓘ |
| railGauge | 1,495 mm ⓘ |
| relatedModel | UTDC CLRV NERFINISHED ⓘ |
| serviceEndYear | 2019 ⓘ |
| serviceEntryYear | 1988 ⓘ |
| serviceType | urban transit ⓘ |
| serviceWithdrawalStartYear | 2018 ⓘ |
| trackType | street-running tramway ⓘ |
| traction | electric traction ⓘ |
| usedFor | high-capacity streetcar service ⓘ |
| usedOnSystem | Toronto streetcar network NERFINISHED ⓘ |
| vehicleConfiguration | articulated ⓘ |
| vehicleType | single-ended streetcar ⓘ |
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: UTDC ALRV Description of subject: The UTDC ALRV is a Canadian-built articulated light rail vehicle model designed for high-capacity streetcar service, notably used by the Toronto Transit Commission.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.