L1-SL
E261446
L1-SL is the station code used to identify the San Lázaro stop on Line 1 of the Mexico City Metro system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| L1-SL canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2367129 — 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: L1-SL Context triple: [San Lázaro, metroStationCode, L1-SL]
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
-
C.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
D.
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.
-
E.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
- 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: L1-SL Target entity description: L1-SL is the station code used to identify the San Lázaro stop on Line 1 of the Mexico City Metro system.
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
-
C.
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.
-
D.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
E.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
metro station code
ⓘ
transportation identifier ⓘ |
| appliesTo |
San Lázaro station on Line 1
ⓘ
linked to:
San Lázaro metro station
|
| country | Mexico ⓘ |
| identifies | San Lázaro ⓘ |
| languageOfCode | alphanumeric ⓘ |
| line | Line 1 ⓘ |
| locatedInSystem | Mexico City Metro ⓘ |
| network |
Sistema de Transporte Colectivo (STC)
ⓘ
linked to:
Sistema de Transporte Colectivo
|
| partOf | Mexico City Metro station coding system ⓘ |
| refersToStopType | metro station ⓘ |
| shortFor |
Línea 1 – San Lázaro
ⓘ
linked to:
Mexico City Metro Line 1
|
| usedBy |
Sistema de Transporte Colectivo (STC)
ⓘ
linked to:
Sistema de Transporte Colectivo
|
| usedFor | Mexico City Metro Line 1 ⓘ |
| usedInCity | Mexico City ⓘ |
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: L1-SL Description of subject: L1-SL is the station code used to identify the San Lázaro stop on Line 1 of the Mexico City Metro system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.