MCO
E484630
MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MCO canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4974710 — 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: MCO Context triple: [Moody's Corporation, tickerSymbol, MCO]
-
A.
MCO
MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
-
B.
MCO
MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
-
C.
MCO
MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
-
D.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
-
E.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
- 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: MCO Target entity description: MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
-
A.
MCO
MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
-
B.
MCO
MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
-
C.
MCO
MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
-
D.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
-
E.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
credit rating agency
ⓘ
public company ⓘ stock ticker symbol ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| currencyOfQuotation |
USD
ⓘ
linked to:
US dollar
|
| focus |
credit risk assessment
ⓘ
economic research ⓘ |
| foundedAs |
Moody's Investors Service
ⓘ
linked to:
Moody's
|
| hasAbbreviation | MCO ⓘ |
| hasCUSIP | 615369105 ⓘ |
| hasDivision |
Moody's Analytics
ⓘ
linked to:
Moody's
Moody's Investors Service ⓘ
linked to:
Moody's
|
| hasGlobalPresence | true ⓘ |
| hasISIN | US6153691059 ⓘ |
| hasLEI | 5493002F0WJXWH8LRZ19 ⓘ |
| hasPrimaryBusiness |
credit rating services
ⓘ
financial data and analytics ⓘ risk management solutions ⓘ |
| hasSecurityType | common stock ⓘ |
| hasStockTicker | MCO ⓘ |
| headquartersCountry |
United States
ⓘ
linked to:
United States of America
|
| headquartersLocation | New York City ⓘ |
| headquartersState | New York ⓘ |
| industry |
credit ratings
ⓘ
financial research ⓘ financial services ⓘ risk analysis ⓘ |
| languageOfOperation | English ⓘ |
| legalForm | corporation ⓘ |
| listedInIndex |
S&P 500
ⓘ
linked to:
S&P 500 Index
|
| listedOn | New York Stock Exchange ⓘ |
| market | equity ⓘ |
| provides |
credit ratings
ⓘ
financial intelligence ⓘ research ⓘ risk analysis ⓘ |
| represents |
Moody's Corporation
ⓘ
linked to:
Moody's
|
| scope | global ⓘ |
| sector | financials ⓘ |
| servesSector |
asset management
ⓘ
banking ⓘ capital markets ⓘ corporate issuers ⓘ insurance ⓘ sovereign issuers ⓘ |
| tradedOnExchange | New York Stock Exchange ⓘ |
| underlyingCompany |
Moody's Corporation
ⓘ
linked to:
Moody's
|
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: MCO Description of subject: MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.