Line 3 (Barcelona Metro)
E871698
Line 3 of the Barcelona Metro is one of the city’s main rapid transit lines, running in a roughly diagonal route across central Barcelona and serving many key commercial and tourist areas.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Line 3 (Barcelona Metro) canonical | 8 |
| Barcelona Metro line 3 | 4 |
| Línia 3 | 3 |
| L3 (Barcelona Metro) | 2 |
| Barcelona Metro Line 3 | 1 |
| Barcelona Metro Line 3 (Zona Universitària station nearby) | 1 |
| L3 of Barcelona Metro | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574728 — 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: Line 3 (Barcelona Metro) Context triple: [Line 1 (Barcelona Metro), connectsWith, Line 3 (Barcelona Metro)]
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A.
Line 3 (Madrid Metro)
Line 3 of the Madrid Metro is a major north–south underground line in Madrid, Spain, connecting key central and residential areas and serving as one of the network’s primary transit corridors.
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B.
Barcelona Metro Line 2
Barcelona Metro Line 2 is a rapid transit line in the Barcelona metropolitan network that connects central Barcelona with the nearby coastal city of Badalona.
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C.
Barcelona Metro L1
Barcelona Metro L1 is one of the main lines of the Barcelona Metro network, running on a largely east–west axis and connecting key districts and transport hubs across the city.
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D.
Barcelona Metro Line L9 Sud
Barcelona Metro Line L9 Sud is a southern section of Barcelona’s automated metro network that links the city with key suburban areas and major transport hubs, including Barcelona–El Prat Airport.
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E.
Barcelona Metro
Barcelona Metro is the rapid transit rail network serving the city of Barcelona and its metropolitan area, known for its extensive coverage and integration with other public transport modes.
- 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: Line 3 (Barcelona Metro) Target entity description: Line 3 of the Barcelona Metro is one of the city’s main rapid transit lines, running in a roughly diagonal route across central Barcelona and serving many key commercial and tourist areas.
-
A.
Line 3 (Madrid Metro)
Line 3 of the Madrid Metro is a major north–south underground line in Madrid, Spain, connecting key central and residential areas and serving as one of the network’s primary transit corridors.
-
B.
Barcelona Metro Line 2
Barcelona Metro Line 2 is a rapid transit line in the Barcelona metropolitan network that connects central Barcelona with the nearby coastal city of Badalona.
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C.
Barcelona Metro L1
Barcelona Metro L1 is one of the main lines of the Barcelona Metro network, running on a largely east–west axis and connecting key districts and transport hubs across the city.
-
D.
Barcelona Metro Line L9 Sud
Barcelona Metro Line L9 Sud is a southern section of Barcelona’s automated metro network that links the city with key suburban areas and major transport hubs, including Barcelona–El Prat Airport.
-
E.
Barcelona Metro
Barcelona Metro is the rapid transit rail network serving the city of Barcelona and its metropolitan area, known for its extensive coverage and integration with other public transport modes.
- F. None of above. chosen
Statements (60)
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: Line 3 (Barcelona Metro) Description of subject: Line 3 of the Barcelona Metro is one of the city’s main rapid transit lines, running in a roughly diagonal route across central Barcelona and serving many key commercial and tourist areas.
Referenced by (20)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Line 1
subject linked to:
Line 2
subject linked to:
Line 4
subject linked to:
Line 9
linked to: Line 3 (Barcelona Metro)
linked to: Line 3 (Barcelona Metro)
subject linked to:
Line 3
linked to: Line 3 (Barcelona Metro)
subject linked to:
Line 5
subject linked to:
Line 11
linked to: Line 3 (Barcelona Metro)
linked to: Line 3 (Barcelona Metro)
linked to: Line 3 (Barcelona Metro)
linked to: Line 3 (Barcelona Metro)
subject linked to:
L2
linked to: Line 3 (Barcelona Metro)
linked to: Line 3 (Barcelona Metro)
subject linked to:
L3
linked to: Line 3 (Barcelona Metro)
subject linked to:
L5
linked to: Line 3 (Barcelona Metro)
linked to: Line 3 (Barcelona Metro)