MAB
E798022
MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MAB canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T9411182 — 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: MAB Context triple: [Mitchells & Butlers plc, tradesUnderSymbol, MAB]
-
A.
MAB
MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
-
B.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
-
C.
MABBIM
MABBIM is a regional language council that coordinates and promotes the development and standardization of the Malay language across Brunei, Indonesia, and Malaysia.
-
D.
MAB Academy
MAB Academy is the training and development arm of Malaysia Aviation Group, providing aviation-related education and professional courses for airline and aviation industry personnel.
-
E.
MAD
MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
- 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: MAB Target entity description: MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
-
A.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
-
B.
MAB
MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
-
C.
MABBIM
MABBIM is a regional language council that coordinates and promotes the development and standardization of the Malay language across Brunei, Indonesia, and Malaysia.
-
D.
MAB Academy
MAB Academy is the training and development arm of Malaysia Aviation Group, providing aviation-related education and professional courses for airline and aviation industry personnel.
-
E.
MAD
MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
public limited company
ⓘ
stockTickerSymbol ⓘ |
| country | United Kingdom ⓘ |
| currency | GBP ⓘ |
| exchangeCountry | United Kingdom ⓘ |
| industry | hospitality ⓘ |
| isMajorOperatorIn | United Kingdom ⓘ |
| listedOn |
London Stock Exchange
ⓘ
London Stock Exchange ⓘ |
| market | Main Market ⓘ |
| operates |
bars
ⓘ
pubs ⓘ restaurants ⓘ |
| represents |
Mitchells & Butlers plc
ⓘ
linked to:
Mitchells & Butlers brewery
|
| sector |
bars
ⓘ
pubs ⓘ restaurants ⓘ |
| securityCurrency | GBP ⓘ |
| securityType | equity ⓘ |
| stockExchangeCountry | United Kingdom ⓘ |
| tickerSymbol | MAB ⓘ |
| underlyingCompanyHeadquartersCountry | United Kingdom ⓘ |
| underlyingCompanyIndustry | hospitality ⓘ |
| underlyingCompanyLegalForm | public limited company ⓘ |
| underlyingCompanySector | pubs, bars and restaurants ⓘ |
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: MAB Description of subject: MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.