Benimàmet metro station
E1039824
Benimàmet metro station is a local rapid transit stop in the Benimàmet neighborhood of Valencia, Spain, serving passengers on the city’s Metrovalencia network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Benimàmet metro station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T13400523 — 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: Benimàmet metro station Context triple: [Benimàmet, hasTransportConnection, Benimàmet metro station]
-
A.
Ségur metro station
Ségur metro station is a Paris Métro station in the 15th arrondissement, serving Line 10 near the UNESCO headquarters and the Place de Fontenoy.
-
B.
Urquinaona metro station
Urquinaona metro station is a central Barcelona Metro interchange station serving multiple lines near Plaça d'Urquinaona in the city's historic core.
-
C.
Gran Vía metro station
Gran Vía metro station is a major Madrid Metro station in the city center, serving as an important interchange point near the Gran Vía thoroughfare.
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D.
Ciutat Meridiana station
Ciutat Meridiana station is an underground Barcelona Metro stop serving the Ciutat Meridiana neighborhood in the Nou Barris district.
-
E.
Santa Eulàlia station
Santa Eulàlia station is a Barcelona Metro stop in the L'Hospitalet de Llobregat area that serves as part of the city’s rapid transit network.
- 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: Benimàmet metro station Target entity description: Benimàmet metro station is a local rapid transit stop in the Benimàmet neighborhood of Valencia, Spain, serving passengers on the city’s Metrovalencia network.
-
A.
Ségur metro station
Ségur metro station is a Paris Métro station in the 15th arrondissement, serving Line 10 near the UNESCO headquarters and the Place de Fontenoy.
-
B.
Urquinaona metro station
Urquinaona metro station is a central Barcelona Metro interchange station serving multiple lines near Plaça d'Urquinaona in the city's historic core.
-
C.
Gran Vía metro station
Gran Vía metro station is a major Madrid Metro station in the city center, serving as an important interchange point near the Gran Vía thoroughfare.
-
D.
Ciutat Meridiana station
Ciutat Meridiana station is an underground Barcelona Metro stop serving the Ciutat Meridiana neighborhood in the Nou Barris district.
-
E.
Santa Eulàlia station
Santa Eulàlia station is a Barcelona Metro stop in the L'Hospitalet de Llobregat area that serves as part of the city’s rapid transit network.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
metro station
ⓘ
railway station ⓘ |
| continent | Europe ⓘ |
| country | Spain ⓘ |
| countryCapitalNearby | Valencia ⓘ |
| fareSystem | Metrovalencia fare zones ⓘ |
| hasLanguage |
Spanish
ⓘ
Valencian ⓘ
linked to:
Catalan
|
| hasService | urban rail passenger transport ⓘ |
| locatedIn |
Benimàmet
ⓘ
Europe ⓘ Valencia ⓘ Valencian Community ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| municipality | Valencia ⓘ |
| network | Metrovalencia ⓘ |
| operator | Metrovalencia ⓘ |
| owner |
Generalitat Valenciana
ⓘ
linked to:
Generalitat of Valencia
|
| partOf |
Valencia public transport network
ⓘ
linked to:
Valencia Metro
|
| publicTransportSystem | Valencia Metro ⓘ |
| region | Valencian Community ⓘ |
| serves | Benimàmet neighborhood ⓘ |
| servesCity | Valencia ⓘ |
| transportMode | rapid transit ⓘ |
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: Benimàmet metro station Description of subject: Benimàmet metro station is a local rapid transit stop in the Benimàmet neighborhood of Valencia, Spain, serving passengers on the city’s Metrovalencia network.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Benimámet (Spanish)