Michel-Ange–Auteuil
E548776
Michel-Ange–Auteuil is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Michel-Ange–Auteuil canonical | 3 |
| Michel-Ange – Auteuil | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5828745 — 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: Michel-Ange–Auteuil Context triple: [Paris Métro Line 9, station, Michel-Ange–Auteuil]
-
A.
Mont des Arts
Mont des Arts is a historic urban complex and elevated garden in central Brussels, Belgium, known for its panoramic views, cultural institutions, and landmark architecture.
-
B.
Notre-Dame du Raincy
Notre-Dame du Raincy is a pioneering early 20th-century reinforced-concrete church near Paris, celebrated as a landmark of modernist religious architecture.
-
C.
Basilique Saint-Denys d'Argenteuil
Basilique Saint-Denys d'Argenteuil is a historic Catholic basilica in Argenteuil, France, known for its medieval origins and religious heritage.
-
D.
Pont de Sèvres
Pont de Sèvres is a notable road and metro bridge over the Seine in the western suburbs of Paris, linking the commune of Sèvres with Boulogne-Billancourt.
-
E.
Versailles-Rive-Gauche
Versailles-Rive-Gauche is the former name of the main RER suburban railway station serving the Palace of Versailles and its surrounding area in Versailles, France.
- 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: Michel-Ange–Auteuil Target entity description: Michel-Ange–Auteuil is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10.
-
A.
Mont des Arts
Mont des Arts is a historic urban complex and elevated garden in central Brussels, Belgium, known for its panoramic views, cultural institutions, and landmark architecture.
-
B.
Notre-Dame du Raincy
Notre-Dame du Raincy is a pioneering early 20th-century reinforced-concrete church near Paris, celebrated as a landmark of modernist religious architecture.
-
C.
Basilique Saint-Denys d'Argenteuil
Basilique Saint-Denys d'Argenteuil is a historic Catholic basilica in Argenteuil, France, known for its medieval origins and religious heritage.
-
D.
Pont de Sèvres
Pont de Sèvres is a notable road and metro bridge over the Seine in the western suburbs of Paris, linking the commune of Sèvres with Boulogne-Billancourt.
-
E.
Versailles-Rive-Gauche
Versailles-Rive-Gauche is the former name of the main RER suburban railway station serving the Palace of Versailles and its surrounding area in Versailles, France.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | Paris Métro station ⓘ |
| cityServed | Paris ⓘ |
| continent | Europe ⓘ |
| country | France ⓘ |
| fareZone | 1 ⓘ |
| hasAccess | street entrances ⓘ |
| hasPlatforms | 2 ⓘ |
| hasStructure | underground ⓘ |
| hasTicketHall | yes ⓘ |
| hasTracks | 2 ⓘ |
| isInterchangeStation | true ⓘ |
| locatedIn |
16th arrondissement of Paris
ⓘ
France ⓘ Paris ⓘ Île-de-France ⓘ
linked to:
Île-de-France region
|
| namedAfter | Rue Michel-Ange ⓘ |
| neighborhood | Auteuil ⓘ |
| operator |
RATP
ⓘ
linked to:
RATP group
|
| ownedBy |
RATP
ⓘ
linked to:
RATP group
|
| partOfNetwork |
Paris Métro
ⓘ
linked to:
Paris Metro
|
| platformType | underground platforms ⓘ |
| publicTransportSystem | Paris public transport ⓘ |
| servedByLine |
Paris Métro Line 10
ⓘ
Paris Métro Line 9 ⓘ |
| servesArrondissement | 16th arrondissement of Paris ⓘ |
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: Michel-Ange–Auteuil Description of subject: Michel-Ange–Auteuil is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.