Saint-Mandé
E175473
Saint-Mandé is a small, affluent suburban commune just east of Paris, France, known for its proximity to the Bois de Vincennes and several national institutions.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Saint-Mandé canonical | 7 |
| Saint-Mandé, France | 1 |
| Saint-Mandé, Val-de-Marne, France | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T847536 — 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-Mandé Context triple: [Trollhättan, hasTwinTown, Saint-Mandé]
-
A.
Châtenay-Malabry
Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
-
B.
Fontenay-aux-Roses
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
-
C.
Choisy-le-Roi
Choisy-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the River Seine in the Val-de-Marne department.
-
D.
Colombes
Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
-
E.
Gonesse
Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
- 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-Mandé Target entity description: Saint-Mandé is a small, affluent suburban commune just east of Paris, France, known for its proximity to the Bois de Vincennes and several national institutions.
-
A.
Châtenay-Malabry
Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
-
B.
Fontenay-aux-Roses
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
-
C.
Choisy-le-Roi
Choisy-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the River Seine in the Val-de-Marne department.
-
D.
Colombes
Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
-
E.
Gonesse
Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf | commune of France ⓘ |
| belongsTo |
arrondissement of Nogent-sur-Marne
ⓘ
canton of Vincennes ⓘ |
| borderedBy |
12th arrondissement of Paris
ⓘ
Charenton-Saint-Maurice ⓘ
surface form:
Charenton-le-Pont
Vincennes ⓘ |
| country | France ⓘ |
| currency | euro ⓘ |
| departmentCode | 94 ⓘ |
| governmentType | communal council ⓘ |
| hasCharacteristic |
affluent
ⓘ
densely populated ⓘ high population density ⓘ high real estate prices ⓘ suburban ⓘ |
| hasFeature | proximity to Bois de Vincennes ⓘ |
| hasLandmark |
Hôpital Bégin
ⓘ
Lac de Saint-Mandé (in Bois de Vincennes nearby) ⓘ Église Notre-Dame de Saint-Mandé ⓘ |
| hasMayor | local elected mayor of Saint-Mandé ⓘ |
| hasNationalInstitution |
French National Institute for Demographic Studies (INED)
ⓘ
INSERM ⓘ
surface form:
French National Institute of Health and Medical Research (INSERM) – facilities
Ministry of the Armed Forces of France ⓘ
surface form:
Ministry of the Armed Forces (France) – historical services
École nationale vétérinaire d'Alfort ⓘ
surface form:
École nationale des vétérinaires d’Alfort – associated facilities nearby
|
| hasTransport | Saint-Mandé metro station ⓘ |
| hasTwinTown |
Esplugues de Llobregat
ⓘ
Vaterstetten ⓘ London Borough of Waltham Forest ⓘ
surface form:
Waltham Forest
|
| INSEECODE | 94067 ⓘ |
| isSuburbOf | Paris ⓘ |
| locatedIn |
Val-de-Marne
ⓘ
eastern hemisphere ⓘ eastern suburbs of Paris ⓘ northern hemisphere ⓘ Île-de-France region ⓘ
surface form:
Île-de-France
|
| locatedNextTo |
Bois de Vincennes
ⓘ
Paris ⓘ |
| officialLanguage | French ⓘ |
| partOf |
Grand Paris urban area
ⓘ
surface form:
Metropolitan area of Paris
|
| postalCode | 94160 ⓘ |
| region |
Île-de-France region
ⓘ
surface form:
Île-de-France
|
| servedBy | Paris Métro Line 1 ⓘ |
| statisticalArea |
Grand Paris urban area
ⓘ
surface form:
Paris metropolitan area
|
| timeZone | CET ⓘ |
| timeZoneDST | CEST ⓘ |
| urbanArea | Paris urban unit ⓘ |
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-Mandé Description of subject: Saint-Mandé is a small, affluent suburban commune just east of Paris, France, known for its proximity to the Bois de Vincennes and several national institutions.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Saint-Mandé, France
this entity surface form:
Saint-Mandé, Val-de-Marne, France