GDF Suez
E170079
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Gaz de France | 3 |
| GDF Suez canonical | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
multinational energy company
ⓘ
public company ⓘ |
| areaServed | worldwide ⓘ |
| businessActivity |
LNG trading
ⓘ
electricity distribution ⓘ electricity generation ⓘ energy services ⓘ natural gas infrastructure ⓘ natural gas supply ⓘ power trading ⓘ renewable energy development ⓘ |
| country | France ⓘ |
| energySource |
biomass
ⓘ
coal ⓘ hydropower ⓘ natural gas ⓘ nuclear power ⓘ solar power ⓘ wind power ⓘ |
| formerName |
GDF Suez
self-linksurface differs
ⓘ
surface form:
Gaz de France
Suez ⓘ |
| foundedBy |
Government of France
ⓘ
surface form:
French government
|
| headquartersLocation |
Courbevoie
ⓘ
France ⓘ La Défense ⓘ Île-de-France region ⓘ
surface form:
Île-de-France
|
| industry |
electricity
ⓘ
energy ⓘ natural gas ⓘ |
| legalForm | société anonyme ⓘ |
| mergerOf |
GDF Suez
self-linksurface differs
ⓘ
surface form:
Gaz de France
Suez ⓘ |
| notableAssetType |
LNG terminals
ⓘ
district heating networks ⓘ gas pipelines ⓘ gas storage facilities ⓘ power plants ⓘ |
| numberOfEmployees | over 150000 ⓘ |
| operatedIn |
Africa
ⓘ
Americas ⓘ Asia ⓘ Europe ⓘ |
| parentCompany |
Government of France
ⓘ
surface form:
French state (major shareholder)
|
| rebrandedAs | Engie ⓘ |
| sector | utilities ⓘ |
| stockExchangeListing |
Euronext
ⓘ
surface form:
Euronext Paris
|
| stockIndexMembership | CAC 40 ⓘ |
| successor | Engie ⓘ |
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: GDF Suez Description of subject: GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Gaz de France