Sogelym Dixence
E1041366
Sogelym Dixence is a French real estate development company known for leading major urban office and mixed-use projects.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sogelym Dixence canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T13463135 — 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: Sogelym Dixence Context triple: [Tour Incity, developer, Sogelym Dixence]
-
A.
Pictet
Pictet is a prominent Swiss family name historically associated with influential figures in finance, politics, and scholarship.
-
B.
Swiss Bank Corporation
Swiss Bank Corporation was a major Swiss financial institution and investment bank that became part of UBS following a landmark merger in the late 1990s.
-
C.
Danske Bank
Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
-
D.
DZ Bank
DZ Bank is a major German cooperative central bank that serves as the central institution for numerous cooperative banks and financial services providers across Germany.
-
E.
Helvetia
Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
- 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: Sogelym Dixence Target entity description: Sogelym Dixence is a French real estate development company known for leading major urban office and mixed-use projects.
-
A.
Pictet
Pictet is a prominent Swiss family name historically associated with influential figures in finance, politics, and scholarship.
-
B.
Swiss Bank Corporation
Swiss Bank Corporation was a major Swiss financial institution and investment bank that became part of UBS following a landmark merger in the late 1990s.
-
C.
Danske Bank
Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
-
D.
DZ Bank
DZ Bank is a major German cooperative central bank that serves as the central institution for numerous cooperative banks and financial services providers across Germany.
-
E.
Helvetia
Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
French company
ⓘ
real estate development company ⓘ |
| activity |
commercial property development
ⓘ
design and construction coordination ⓘ project management for real estate developments ⓘ |
| businessModel | property development ⓘ |
| country | France ⓘ |
| focusesOn |
mixed-use urban districts
ⓘ
office buildings ⓘ |
| industry | real estate development ⓘ |
| knownFor |
large-scale mixed-use complexes
ⓘ
major urban office developments ⓘ |
| market |
corporate tenants
ⓘ
institutional investors ⓘ |
| operatesIn | urban real estate markets ⓘ |
| sector | commercial real estate ⓘ |
| specializesIn |
mixed-use real estate projects
ⓘ
office real estate projects ⓘ |
| typeOfProjects |
large-scale urban regeneration projects
ⓘ
new-build developments ⓘ |
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: Sogelym Dixence Description of subject: Sogelym Dixence is a French real estate development company known for leading major urban office and mixed-use projects.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.