BAS (Line 8)
E797315
BAS (Line 8) is the station code used to identify the Line 8 platforms of Bellas Artes metro station in Mexico City’s rapid transit system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| BAS (Line 8) canonical | 1 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
metro station code
ⓘ
transportation identifier ⓘ |
| appliesTo | Bellas Artes metro station Line 8 platforms NERFINISHED ⓘ |
| associatedWithLine | Line 8 ⓘ |
| associatedWithStation | Bellas Artes NERFINISHED ⓘ |
| country | Mexico ⓘ |
| hasCodeText | BAS GENERATED ⓘ |
| identifies | Line 8 platforms at Bellas Artes station ⓘ |
| locatedIn |
Mexico
ⓘ
Mexico City ⓘ |
| partOf | Mexico City Metro NERFINISHED ⓘ |
| system | Mexico City Metro station coding system ⓘ |
| usedFor |
internal system reference
ⓘ
operational identification of Line 8 platforms ⓘ |
| usedIn | Mexico City rapid transit system ⓘ |
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: BAS (Line 8) Description of subject: BAS (Line 8) is the station code used to identify the Line 8 platforms of Bellas Artes metro station in Mexico City’s rapid transit system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.