Créteil–Université station
E798767
Créteil–Université station is a Paris Métro station in the southeastern suburb of Créteil that serves the nearby university campus and surrounding residential areas.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Créteil–Université metro station | 1 |
| Créteil–Université station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9342783 — 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: Créteil–Université station Context triple: [Créteil, hasTransport, Créteil–Université station]
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A.
Créteil–Préfecture station
Créteil–Préfecture station is a Paris Métro station in the suburb of Créteil that serves as a key access point to the Val-de-Marne departmental administrative center and surrounding urban area.
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B.
Puteaux station
Puteaux station is a railway and tramway station in the western suburbs of Paris, serving the commune of Puteaux and connecting it to the wider Île-de-France public transport network.
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C.
Épinay–Villetaneuse station
Épinay–Villetaneuse station is a suburban railway station in the northern Paris metropolitan area, serving as a key node on the Transilien network.
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D.
Massy–Verrières station
Massy–Verrières station is a railway station in Massy, France, serving as a local commuter hub on the Paris RER network.
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E.
Saint-Quentin-en-Yvelines station
Saint-Quentin-en-Yvelines station is a major suburban railway hub in the Yvelines department of the Paris metropolitan area, serving regional and commuter rail lines including the RER.
- 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: Créteil–Université station Target entity description: Créteil–Université station is a Paris Métro station in the southeastern suburb of Créteil that serves the nearby university campus and surrounding residential areas.
-
A.
Créteil–Préfecture station
Créteil–Préfecture station is a Paris Métro station in the suburb of Créteil that serves as a key access point to the Val-de-Marne departmental administrative center and surrounding urban area.
-
B.
Puteaux station
Puteaux station is a railway and tramway station in the western suburbs of Paris, serving the commune of Puteaux and connecting it to the wider Île-de-France public transport network.
-
C.
Épinay–Villetaneuse station
Épinay–Villetaneuse station is a suburban railway station in the northern Paris metropolitan area, serving as a key node on the Transilien network.
-
D.
Massy–Verrières station
Massy–Verrières station is a railway station in Massy, France, serving as a local commuter hub on the Paris RER network.
-
E.
Saint-Quentin-en-Yvelines station
Saint-Quentin-en-Yvelines station is a major suburban railway hub in the Yvelines department of the Paris metropolitan area, serving regional and commuter rail lines including the RER.
- F. None of above. chosen
Statements (32)
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: Créteil–Université station Description of subject: Créteil–Université station is a Paris Métro station in the southeastern suburb of Créteil that serves the nearby university campus and surrounding residential areas.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Créteil–Université station