S&P Asia 50
E162632
S&P Asia 50 is a stock market index that tracks the performance of 50 leading blue-chip companies from major Asian markets.
All labels observed (3)
| Label | Occurrences |
|---|---|
| S&P Asia 50 canonical | 1 |
| S&P Asia 50 Index | 1 |
| S&P Asia indices | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1389203 — 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: S&P Asia 50 Context triple: [S&P Global 1200, componentIndex, S&P Asia 50]
-
A.
S&P/ASX 50
The S&P/ASX 50 is a stock market index that tracks the performance of the 50 largest and most liquid companies listed on the Australian Securities Exchange.
-
B.
S&P Europe 350
S&P Europe 350 is a major stock market index that tracks the performance of 350 leading blue-chip companies across developed European markets.
-
C.
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.
-
D.
S&P Latin America 40
S&P Latin America 40 is a stock market index that tracks the performance of 40 leading large-cap companies from major Latin American markets.
-
E.
Nikkei
Nikkei are people of Japanese descent living outside Japan, particularly in the Americas and other parts of the Japanese diaspora.
- 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: S&P Asia 50 Target entity description: S&P Asia 50 is a stock market index that tracks the performance of 50 leading blue-chip companies from major Asian markets.
-
A.
S&P/ASX 50
The S&P/ASX 50 is a stock market index that tracks the performance of the 50 largest and most liquid companies listed on the Australian Securities Exchange.
-
B.
S&P Europe 350
S&P Europe 350 is a major stock market index that tracks the performance of 350 leading blue-chip companies across developed European markets.
-
C.
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.
-
D.
S&P Latin America 40
S&P Latin America 40 is a stock market index that tracks the performance of 40 leading large-cap companies from major Latin American markets.
-
E.
Nikkei
Nikkei are people of Japanese descent living outside Japan, particularly in the Americas and other parts of the Japanese diaspora.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
equity index
ⓘ
stock market index ⓘ |
| currency | US dollar ⓘ |
| dataVendorCodeType | stock index ⓘ |
| focusesOn | blue-chip companies ⓘ |
| hasAbbreviation |
S&P Asia 50
self-linksurface differs
ⓘ
surface form:
S&P Asia 50 Index
|
| hasIndexType |
blue-chip
ⓘ
large-cap ⓘ |
| hasProvider | S&P Global ⓘ |
| includesAssetClass | equities ⓘ |
| includesRegion |
Hong Kong, China
ⓘ
surface form:
Hong Kong
Japan ⓘ Singapore ⓘ South Korea ⓘ Taiwan, Province of China ⓘ
surface form:
Taiwan
|
| indexFamily |
S&P Asia 50
self-linksurface differs
ⓘ
surface form:
S&P Asia indices
|
| isDesignedTo | measure performance of 50 leading Asian blue-chip stocks ⓘ |
| isPartOf |
S&P Global Broad Market Index Series
ⓘ
surface form:
S&P Global Equity Indices
|
| isUsedFor |
benchmarking Asian equity performance
ⓘ
underlying index for financial products ⓘ |
| numberOfConstituents | 50 ⓘ |
| operator | S&P Dow Jones Indices ⓘ |
| publisher | S&P Dow Jones Indices ⓘ |
| rebalancingFrequency | periodic ⓘ |
| regionCovered | Asia ⓘ |
| selectionCriteriaIncludes |
free-float adjustment
ⓘ
liquidity ⓘ market capitalization ⓘ |
| tracks | leading companies in major Asian markets ⓘ |
| usesWeightingScheme | float-adjusted market capitalization 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: S&P Asia 50 Description of subject: S&P Asia 50 is a stock market index that tracks the performance of 50 leading blue-chip companies from major Asian markets.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
S&P Asia indices
this entity surface form:
S&P Asia 50 Index