BEL 20
E23524
The BEL 20 is the benchmark stock market index of Euronext Brussels, comprising the largest and most actively traded companies in Belgium.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T185096 — 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: BEL 20 Context triple: [AEX index, isComparableTo, BEL 20]
-
A.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
B.
BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
-
C.
BEA
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
D.
BOA
BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
-
E.
BE
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
- 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: BEL 20 Target entity description: The BEL 20 is the benchmark stock market index of Euronext Brussels, comprising the largest and most actively traded companies in Belgium.
-
A.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
B.
BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
-
C.
BEA
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
D.
BOA
BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
-
E.
BE
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
benchmark index
ⓘ
equity index ⓘ stock market index ⓘ |
| abbreviation |
BEL20
ⓘ
linked to:
BEL 20
|
| baseCurrency |
EUR
ⓘ
linked to:
Euro
|
| calculationType |
price index
ⓘ
total return variants available ⓘ |
| compositionCriteria |
largest companies by free-float market capitalization in Belgium
ⓘ
most actively traded Belgian companies ⓘ |
| country | Belgium ⓘ |
| currency | euro ⓘ |
| dataVendorCode |
Euronext Brussels main index
ⓘ
linked to:
Euronext
|
| exchange |
Euronext Brussels
ⓘ
linked to:
Euronext
|
| geographicalFocus | Belgium ⓘ |
| governingBody |
Euronext index committee
ⓘ
linked to:
Euronext
|
| hasBlueChipStatus | true ⓘ |
| hasConstituentsFrom | companies listed in Belgium ⓘ |
| hasRebalancing | periodic review of constituents ⓘ |
| indexFamily |
Euronext indices
ⓘ
linked to:
Euronext
|
| isBenchmarkFor | Belgian stock market ⓘ |
| isUnderlyingFor |
exchange-traded products
ⓘ
index derivatives ⓘ |
| isUsedBy |
institutional investors
ⓘ
retail investors ⓘ |
| isUsedFor |
index-tracking funds
ⓘ
performance benchmarking ⓘ portfolio construction ⓘ |
| location |
Brussels
ⓘ
linked to:
Brussels, Belgium
|
| marketCoverage | Belgian large-cap equities ⓘ |
| marketSegment | large-cap ⓘ |
| numberOfConstituents | 20 ⓘ |
| operator | Euronext ⓘ |
| region | Europe ⓘ |
| sectorCoverage | multi-sector ⓘ |
| tradedOn |
Euronext Brussels
ⓘ
linked to:
Euronext
|
| tradingVenueMIC | XBRU ⓘ |
| weightingMethod | free-float market capitalization weighted ⓘ |
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: BEL 20 Description of subject: The BEL 20 is the benchmark stock market index of Euronext Brussels, comprising the largest and most actively traded companies in Belgium.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: BEL 20