Michel-Ange – Molitor station
E355843
Michel-Ange – Molitor station is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10 near the Parc des Princes and the Stade Roland Garros.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michel-Ange – Molitor station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3405953 — 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 – Molitor station Context triple: [Paris Métro Line 10, hasStation, Michel-Ange – Molitor station]
-
A.
Mabillon metro station
Mabillon metro station is a Paris Métro station in the 6th arrondissement, serving the Saint‑Germain‑des‑Prés area on the Left Bank.
-
B.
Cardinal Lemoine metro station
Cardinal Lemoine metro station is a Paris Métro station in the Latin Quarter, serving Line 10 near the Panthéon and several major universities.
-
C.
St. Denis station
St. Denis station is a MARC commuter rail stop in Maryland serving passengers on the Camden Line between Washington, D.C., and Baltimore.
-
D.
La Muette metro station
La Muette metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 near the Passy and La Muette neighborhoods.
-
E.
Alma–Marceau metro station
Alma–Marceau metro station is a Paris Métro station in the 8th arrondissement, serving Line 9 near the Pont de l’Alma and several major cultural and tourist sites.
- 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 – Molitor station Target entity description: Michel-Ange – Molitor station is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10 near the Parc des Princes and the Stade Roland Garros.
-
A.
Mabillon metro station
Mabillon metro station is a Paris Métro station in the 6th arrondissement, serving the Saint‑Germain‑des‑Prés area on the Left Bank.
-
B.
Cardinal Lemoine metro station
Cardinal Lemoine metro station is a Paris Métro station in the Latin Quarter, serving Line 10 near the Panthéon and several major universities.
-
C.
St. Denis station
St. Denis station is a MARC commuter rail stop in Maryland serving passengers on the Camden Line between Washington, D.C., and Baltimore.
-
D.
La Muette metro station
La Muette metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 near the Passy and La Muette neighborhoods.
-
E.
Alma–Marceau metro station
Alma–Marceau metro station is a Paris Métro station in the 8th arrondissement, serving Line 9 near the Pont de l’Alma and several major cultural and tourist sites.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
Paris Métro station
ⓘ
underground railway station ⓘ |
| country | France ⓘ |
| fareZone | 1 ⓘ |
| hasFunction | interchange station ⓘ |
| hasPlatformType | side platforms ⓘ |
| locatedIn |
16th arrondissement of Paris
ⓘ
France ⓘ Paris ⓘ Île-de-France region ⓘ
surface form:
Île-de-France
|
| locatedNear |
Boulevard Murat
NERFINISHED
ⓘ
Parc des Princes ⓘ Rue Michel-Ange NERFINISHED ⓘ Rue Molitor NERFINISHED ⓘ Stade Roland Garros ⓘ |
| municipality | Paris ⓘ |
| namedAfter |
Rue Michel-Ange
NERFINISHED
ⓘ
Rue Molitor NERFINISHED ⓘ |
| network |
Paris Metro
ⓘ
surface form:
Paris Métro
|
| operator |
RATP group
ⓘ
surface form:
RATP
|
| publicTransportSystem |
Paris Metro
ⓘ
surface form:
Paris Métro
|
| servedByLine |
Paris Métro Line 10
NERFINISHED
ⓘ
Paris Métro Line 9 NERFINISHED ⓘ |
| structureType | underground ⓘ |
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 – Molitor station Description of subject: Michel-Ange – Molitor station is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10 near the Parc des Princes and the Stade Roland Garros.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.