Seine-Saint-Denis department (to the northeast)
E717532
Seine-Saint-Denis is a densely populated suburban department in the Île-de-France region, known for its cultural diversity, working-class communities, and location just northeast of central Paris.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Seine-Saint-Denis department (to the northeast) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8152400 — 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: Seine-Saint-Denis department (to the northeast) Context triple: [20th arrondissement of Paris, borderedBy, Seine-Saint-Denis department (to the northeast)]
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A.
Nord department
Nord department is an administrative region in northern France bordering Belgium, known for its industrial heritage and historic cities such as Lille.
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B.
Nord department
The Nord department is an administrative region in northern Haiti known for its historic cities, including Cap-Haïtien, and its significant role in the country’s colonial and revolutionary history.
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C.
Department of Hauts-de-Seine
The Department of Hauts-de-Seine is an administrative division in the western suburbs of Paris, France, known for its affluent communities and major business districts such as La Défense.
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D.
Seine-et-Oise department
Seine-et-Oise was a former department of France surrounding Paris that existed from the French Revolution until its 1968 breakup into several new departments, including Val-de-Marne.
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E.
Val-d'Oise department
Val-d'Oise department is an administrative division in the Île-de-France region of northern France that includes both suburban areas of Paris and major transport hubs such as Charles de Gaulle Airport.
- 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: Seine-Saint-Denis department (to the northeast) Target entity description: Seine-Saint-Denis is a densely populated suburban department in the Île-de-France region, known for its cultural diversity, working-class communities, and location just northeast of central Paris.
-
A.
Nord department
Nord department is an administrative region in northern France bordering Belgium, known for its industrial heritage and historic cities such as Lille.
-
B.
Nord department
The Nord department is an administrative region in northern Haiti known for its historic cities, including Cap-Haïtien, and its significant role in the country’s colonial and revolutionary history.
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C.
Department of Hauts-de-Seine
The Department of Hauts-de-Seine is an administrative division in the western suburbs of Paris, France, known for its affluent communities and major business districts such as La Défense.
-
D.
Seine-et-Oise department
Seine-et-Oise was a former department of France surrounding Paris that existed from the French Revolution until its 1968 breakup into several new departments, including Val-de-Marne.
-
E.
Val-d'Oise department
Val-d'Oise department is an administrative division in the Île-de-France region of northern France that includes both suburban areas of Paris and major transport hubs such as Charles de Gaulle Airport.
- F. None of above. chosen
Statements (67)
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: Seine-Saint-Denis department (to the northeast) Description of subject: Seine-Saint-Denis is a densely populated suburban department in the Île-de-France region, known for its cultural diversity, working-class communities, and location just northeast of central Paris.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.