MA
E236905
MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MA canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2143829 — 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: MA Context triple: [Mastercard, tickerSymbol, MA]
-
A.
MA
MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
-
B.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
C.
NM
NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
-
D.
MO
MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
-
E.
MAR
MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
- 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: MA Target entity description: MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
-
A.
MA
MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
-
B.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
C.
NM
NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
-
D.
MO
MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
-
E.
MAR
MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
financial services company
ⓘ
payments technology company ⓘ public company ⓘ stock ticker symbol ⓘ |
| associatedCompany |
Mastercard
ⓘ
surface form:
Mastercard Incorporated
|
| brand | Mastercard ⓘ |
| businessModel | global payments network ⓘ |
| competitor |
American Express
ⓘ
surface form:
American Express Company
Discover Financial Services ⓘ Visa ⓘ
surface form:
Visa Inc.
|
| country |
United States of America
ⓘ
surface form:
United States
|
| currency | USD (for stock trading) ⓘ |
| foundedAs |
Mastercard
ⓘ
surface form:
Interbank Card Association
|
| hasBrand |
Cirrus
ⓘ
Maestro ⓘ |
| hasGlobalReach | yes ⓘ |
| hasLogoText |
Mastercard
ⓘ
surface form:
mastercard
|
| hasPaymentNetworkType | card network ⓘ |
| headquartersLocation |
Purchase, New York
ⓘ
surface form:
Purchase, New York, United States
|
| industry |
financial services
ⓘ
information technology services ⓘ payments ⓘ |
| listedOn | NYSE ⓘ |
| listedOnIndex |
S&P 500 Index
ⓘ
surface form:
S&P 500
|
| offers |
credit card payment processing
ⓘ
data analytics services ⓘ debit card payment processing ⓘ digital payment solutions ⓘ fraud prevention services ⓘ loyalty and rewards solutions ⓘ payment security services ⓘ prepaid card services ⓘ |
| operates |
Mastercard
ⓘ
surface form:
Mastercard payment network
|
| represents |
Mastercard
ⓘ
surface form:
Mastercard Incorporated
|
| securityType | common stock ⓘ |
| serves |
businesses
ⓘ
consumers ⓘ financial institutions ⓘ governments ⓘ merchants ⓘ |
| stockTicker | MA self-linksurface differs ⓘ |
| supports |
contactless payments
ⓘ
mobile payments ⓘ online payments ⓘ |
| tradedOn | New York Stock Exchange ⓘ |
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: MA Description of subject: MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Mastercard Incorporated