SL
E103978
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SL canonical | 75 |
How this entity was disambiguated
This entity first appeared as the object of triple T875008 — 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: SL Context triple: [Storstockholms Lokaltrafik, shortName, SL]
-
A.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
-
B.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
C.
Sal
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
-
D.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
E.
SLV
SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
- 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: SL Target entity description: SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
A.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
-
B.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
C.
Sal
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
-
D.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
E.
SLV
SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
government agency
ⓘ
public transport authority ⓘ transport brand ⓘ |
| abbreviation | SL ⓘ |
| brandUsedOn |
information material
ⓘ
ticketing media ⓘ vehicles in Stockholm public transport ⓘ |
| country | Sweden ⓘ |
| fareSystem | integrated ticketing system ⓘ |
| formerName | Storstockholms Lokaltrafik ⓘ |
| hasLogo | SL logo ⓘ |
| hasService |
bus services
ⓘ
commuter rail services ⓘ ferry services ⓘ light rail services ⓘ metro services ⓘ |
| headquartersLocation | Stockholm ⓘ |
| inception | 1967 ⓘ |
| industry | public transportation ⓘ |
| jurisdiction | Stockholm County ⓘ |
| languageOfWorkOrName | Swedish ⓘ |
| locatedInTheAdministrativeTerritorialEntity | Stockholm County ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| modeOfTransport |
bus
ⓘ
ferry ⓘ rail ⓘ tram ⓘ |
| operates |
Stockholm bus network
ⓘ
Stockholm commuter rail ⓘ Stockholm light rail ⓘ
linked to:
Stockholm tramways
Stockholm metro ⓘ Stockholm public transport system ⓘ
linked to:
Stockholm public transport network
archipelago public transport services ⓘ |
| operatesIn |
Stockholm archipelago
ⓘ
linked to:
Stockholm archipelago islands
suburban areas ⓘ urban areas ⓘ |
| ownedBy | Region Stockholm ⓘ |
| parentOrganization | Region Stockholm ⓘ |
| responsibleFor |
coordination of public transport operators
ⓘ
planning public transport in Stockholm County ⓘ procurement of public transport services ⓘ |
| serves |
Stockholm County
ⓘ
Stockholm metropolitan area ⓘ
linked to:
Stockholm–Uppsala region
|
| shortName | SL ⓘ |
| uses | SL Access smart card ⓘ |
| website | https://sl.se ⓘ |
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: SL Description of subject: SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
Referenced by (75)
Full triples — surface form annotated when it differs from this entity's canonical label.