Saint-Jean-de-Védas Centre tram stop
E1001903
Saint-Jean-de-Védas Centre tram stop is a tram station serving the commune of Saint-Jean-de-Védas in the Montpellier metropolitan area of southern France.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Saint-Jean-de-Védas Centre tram stop canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12765668 — 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: Saint-Jean-de-Védas Centre tram stop Context triple: [Montpellier tramway, hasStop, Saint-Jean-de-Védas Centre tram stop]
-
A.
Jaude tram stop
Jaude tram stop is a tramway station serving Clermont-Ferrand’s central Place de Jaude, a major hub for urban transit and city life in the Auvergne region of France.
-
B.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
C.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
D.
Alma–Marceau station
Alma–Marceau station is a Paris Métro station on Line 9 located near the Pont de l'Alma and the Flame of Liberty monument in the 8th arrondissement.
-
E.
Saint-Gratien station
Saint-Gratien station is a suburban railway station in Saint-Gratien, France, serving regional commuter trains in the northern outskirts of Paris.
- 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: Saint-Jean-de-Védas Centre tram stop Target entity description: Saint-Jean-de-Védas Centre tram stop is a tram station serving the commune of Saint-Jean-de-Védas in the Montpellier metropolitan area of southern France.
-
A.
Jaude tram stop
Jaude tram stop is a tramway station serving Clermont-Ferrand’s central Place de Jaude, a major hub for urban transit and city life in the Auvergne region of France.
-
B.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
C.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
D.
Alma–Marceau station
Alma–Marceau station is a Paris Métro station on Line 9 located near the Pont de l'Alma and the Flame of Liberty monument in the 8th arrondissement.
-
E.
Saint-Gratien station
Saint-Gratien station is a suburban railway station in Saint-Gratien, France, serving regional commuter trains in the northern outskirts of Paris.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
public transport station
ⓘ
tram stop ⓘ |
| continent | Europe ⓘ |
| country | France ⓘ |
| fareSystem |
TaM Montpellier Méditerranée Métropole
ⓘ
linked to:
TaM Montpellier 3M
|
| hasLanguage | French ⓘ |
| hasPublicTransportType | tram stop ⓘ |
| locatedIn |
Hérault
ⓘ
Montpellier metropolitan area ⓘ
linked to:
Montpellier Méditerranée Métropole
Occitanie ⓘ Saint-Jean-de-Védas ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| operator |
TaM Montpellier
ⓘ
linked to:
TaM Montpellier 3M
|
| partOfNetwork | Montpellier tramway ⓘ |
| region |
southern France
ⓘ
linked to:
Southern France
|
| servedPlace | Saint-Jean-de-Védas ⓘ |
| serves |
commuters
ⓘ
local residents ⓘ |
| transportMode | tram ⓘ |
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: Saint-Jean-de-Védas Centre tram stop Description of subject: Saint-Jean-de-Védas Centre tram stop is a tram station serving the commune of Saint-Jean-de-Védas in the Montpellier metropolitan area of southern France.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.