Mi Macro Aeropuerto
E600273
Mi Macro Aeropuerto is a bus rapid transit (BRT) line in the Guadalajara metropolitan area that connects the city with its international airport as part of the SITEUR public transport network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mi Macro Aeropuerto canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6560911 — 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: Mi Macro Aeropuerto Context triple: [SITEUR, operatesSystem, Mi Macro Aeropuerto]
-
A.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
B.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
C.
Terminal 2E
Terminal 2E is a major international passenger terminal at Paris Charles de Gaulle Airport, known for handling many long-haul and Air France flights.
-
D.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
E.
Flamingo International Airport
Flamingo International Airport is the main international gateway serving the Caribbean island of Bonaire, handling both regional and long-haul flights for tourists and residents.
- 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: Mi Macro Aeropuerto Target entity description: Mi Macro Aeropuerto is a bus rapid transit (BRT) line in the Guadalajara metropolitan area that connects the city with its international airport as part of the SITEUR public transport network.
-
A.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
B.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
C.
Terminal 2E
Terminal 2E is a major international passenger terminal at Paris Charles de Gaulle Airport, known for handling many long-haul and Air France flights.
-
D.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
E.
Flamingo International Airport
Flamingo International Airport is the main international gateway serving the Caribbean island of Bonaire, handling both regional and long-haul flights for tourists and residents.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
bus rapid transit line
ⓘ
public transport line ⓘ |
| category |
Airport bus services
ⓘ
Bus rapid transit in Mexico ⓘ Transport in Guadalajara ⓘ |
| connects |
Guadalajara International Airport
ⓘ
Guadalajara metropolitan area ⓘ |
| country | Mexico ⓘ |
| fareSystem | integrated with SITEUR ⓘ |
| hasRouteType | dedicated BRT corridor ⓘ |
| hasStationType | BRT station ⓘ |
| languageOfName | Spanish ⓘ |
| locatedIn |
Guadalajara metropolitan area
ⓘ
Jalisco ⓘ Mexico ⓘ |
| operator | SITEUR ⓘ |
| partOf |
Guadalajara public transport network
ⓘ
linked to:
Guadalajara public bus network
SITEUR ⓘ |
| primaryFunction | airport connector ⓘ |
| publicTransportSystem | SITEUR ⓘ |
| regionServed | Guadalajara metropolitan area ⓘ |
| serves | Guadalajara International Airport ⓘ |
| servesCity | Guadalajara ⓘ |
| systemType | bus rapid transit ⓘ |
| transportMode | bus ⓘ |
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: Mi Macro Aeropuerto Description of subject: Mi Macro Aeropuerto is a bus rapid transit (BRT) line in the Guadalajara metropolitan area that connects the city with its international airport as part of the SITEUR public transport network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.