Les Docks de Saint-Ouen depot
E916494
Les Docks de Saint-Ouen depot is a maintenance and storage facility for Paris Métro rolling stock, serving the busy Line 13 in the northern suburbs of Paris.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Les Docks de Saint-Ouen depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11287395 — 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: Les Docks de Saint-Ouen depot Context triple: [Paris Métro Line 13, hasDepot, Les Docks de Saint-Ouen depot]
-
A.
Port of Gennevilliers
The Port of Gennevilliers is a major inland port near Paris and one of France’s largest river freight hubs, handling diverse cargo and supporting regional logistics and industry.
-
B.
Fontenay-sous-Bois depot
Fontenay-sous-Bois depot is a maintenance and storage facility serving trains on Paris Métro Line 1, located in the eastern suburb of Fontenay-sous-Bois.
-
C.
Port of Paris
The Port of Paris is a major inland port complex in the Île-de-France region that handles river traffic, logistics, and tourism along the Seine and its connected waterways.
-
D.
Quai des Docks
Quai des Docks is a quay along the Port of Nice in southern France, known for its waterfront promenade, moored boats, and proximity to the city’s historic and commercial areas.
-
E.
Port of Boulogne-sur-Mer
The Port of Boulogne-sur-Mer is a major French fishing and commercial harbor on the English Channel, known as one of Europe’s leading seafood ports.
- 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: Les Docks de Saint-Ouen depot Target entity description: Les Docks de Saint-Ouen depot is a maintenance and storage facility for Paris Métro rolling stock, serving the busy Line 13 in the northern suburbs of Paris.
-
A.
Port of Gennevilliers
The Port of Gennevilliers is a major inland port near Paris and one of France’s largest river freight hubs, handling diverse cargo and supporting regional logistics and industry.
-
B.
Fontenay-sous-Bois depot
Fontenay-sous-Bois depot is a maintenance and storage facility serving trains on Paris Métro Line 1, located in the eastern suburb of Fontenay-sous-Bois.
-
C.
Port of Paris
The Port of Paris is a major inland port complex in the Île-de-France region that handles river traffic, logistics, and tourism along the Seine and its connected waterways.
-
D.
Quai des Docks
Quai des Docks is a quay along the Port of Nice in southern France, known for its waterfront promenade, moored boats, and proximity to the city’s historic and commercial areas.
-
E.
Port of Boulogne-sur-Mer
The Port of Boulogne-sur-Mer is a major French fishing and commercial harbor on the English Channel, known as one of Europe’s leading seafood ports.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
maintenance facility
ⓘ
metro rolling stock depot ⓘ railway depot ⓘ storage facility ⓘ |
| associatedWith |
RATP
ⓘ
linked to:
RATP group
|
| country | France ⓘ |
| function |
maintenance of Paris Métro rolling stock
ⓘ
storage of Paris Métro rolling stock ⓘ |
| locatedIn |
France
ⓘ
Saint-Ouen-sur-Seine ⓘ
linked to:
Saint-Ouen
Seine-Saint-Denis ⓘ Île-de-France ⓘ
linked to:
Île-de-France region
|
| locatedNear | Paris ⓘ |
| networkRole | support facility for Line 13 operations ⓘ |
| partOfNetwork |
Paris Métro
ⓘ
linked to:
Paris Metro
|
| servedLineType | heavy-used metro line ⓘ |
| servedRollingStock |
Paris Métro trains
ⓘ
linked to:
MP series Paris Métro trains
|
| servesArea | northern suburbs of Paris ⓘ |
| servesLine | Paris Métro Line 13 ⓘ |
| transportSystem | urban rail 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: Les Docks de Saint-Ouen depot Description of subject: Les Docks de Saint-Ouen depot is a maintenance and storage facility for Paris Métro rolling stock, serving the busy Line 13 in the northern suburbs of Paris.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.