Metro Line 5
E264178
Metro Line 5 is a rapid transit route within a city's metro system that connects with Metro Line 6 at one or more interchange stations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Metro Line 5 canonical | 4 |
Statements (12)
| Predicate | Object |
|---|---|
| instanceOf |
metro line
ⓘ
rapid transit line ⓘ |
| connectsTo | Metro Line 6 ⓘ |
| hasFunction | passenger transport ⓘ |
| hasInterchangeStationWith | Metro Line 6 ⓘ |
| hasInterchangeWith | Metro Line 6 ⓘ |
| hasRouteType | urban rail transit ⓘ |
| hasTrackType | grade-separated ⓘ |
| hasTransportMode | metro ⓘ |
| isOperationalWith | Metro Line 6 ⓘ |
| partOf | city metro system ⓘ |
| sharesNetwork | Metro Line 6 ⓘ |
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: Metro Line 5 Description of subject: Metro Line 5 is a rapid transit route within a city's metro system that connects with Metro Line 6 at one or more interchange stations.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Gustavo A. Madero