DAX 50 ESG
E131057
DAX 50 ESG is a German stock market index that tracks the performance of 50 large, liquid companies from the DAX universe selected based on environmental, social, and governance (ESG) criteria.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DAX 50 ESG canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1144119 — 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: DAX 50 ESG Context triple: [DAX, hasFamilyMember, DAX 50 ESG]
-
A.
Euro Stoxx 50
The Euro Stoxx 50 is a leading blue-chip stock market index that tracks the performance of 50 major companies from countries within the eurozone.
-
B.
CAC 40
CAC 40 is the benchmark French stock market index, tracking 40 major companies listed on the Euronext Paris exchange.
-
C.
AEX index
The AEX index is a benchmark stock market index that tracks the performance of the largest and most actively traded companies listed on the Amsterdam Stock Exchange.
-
D.
DAX
DAX (Data Analysis Expressions) is a formula and query language used in Microsoft Power BI, Excel Power Pivot, and Analysis Services for creating custom calculations and data models.
-
E.
DAX
DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
- 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: DAX 50 ESG Target entity description: DAX 50 ESG is a German stock market index that tracks the performance of 50 large, liquid companies from the DAX universe selected based on environmental, social, and governance (ESG) criteria.
-
A.
Euro Stoxx 50
The Euro Stoxx 50 is a leading blue-chip stock market index that tracks the performance of 50 major companies from countries within the eurozone.
-
B.
CAC 40
CAC 40 is the benchmark French stock market index, tracking 40 major companies listed on the Euronext Paris exchange.
-
C.
AEX index
The AEX index is a benchmark stock market index that tracks the performance of the largest and most actively traded companies listed on the Amsterdam Stock Exchange.
-
D.
DAX
DAX (Data Analysis Expressions) is a formula and query language used in Microsoft Power BI, Excel Power Pivot, and Analysis Services for creating custom calculations and data models.
-
E.
DAX
DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
ESG index
ⓘ
equity index ⓘ stock market index ⓘ |
| assetClass | equities ⓘ |
| baseCurrency | euro ⓘ |
| calculatedBy |
Qontigo
ⓘ
STOXX Ltd. ⓘ
linked to:
STOXX
|
| country | Germany ⓘ |
| dataSource | German stock exchanges ⓘ |
| excludes |
companies involved in controversial business activities
ⓘ
companies with poor ESG scores ⓘ |
| focus | integration of ESG factors into German equity exposure ⓘ |
| focusesOn |
responsible investment
ⓘ
sustainability ⓘ |
| indexFamily | DAX indices ⓘ |
| isUsedFor |
benchmarking ESG investment products
ⓘ
creation of ETFs ⓘ creation of index funds ⓘ |
| market | German stock market ⓘ |
| numberOfConstituents | 50 ⓘ |
| parentIndex | DAX ⓘ |
| provider | Deutsche Börse ⓘ |
| regionCovered |
Eurozone
ⓘ
Germany ⓘ |
| sectorCoverage | multiple sectors ⓘ |
| selectionCriteria |
ESG criteria
ⓘ
environmental criteria ⓘ governance criteria ⓘ social criteria ⓘ |
| selectionUniverse |
DAX universe
ⓘ
linked to:
DAX
|
| tracks |
large German companies
ⓘ
liquid German companies ⓘ |
| underlyingCompaniesType |
blue-chip companies
ⓘ
large-cap companies ⓘ |
| usesMethodology |
ESG screening
ⓘ
best-in-class selection ⓘ |
| weightingMethod | free-float market-cap weighting ⓘ |
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: DAX 50 ESG Description of subject: DAX 50 ESG is a German stock market index that tracks the performance of 50 large, liquid companies from the DAX universe selected based on environmental, social, and governance (ESG) criteria.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.