XLON
E786154
XLON is the Market Identifier Code for the London Stock Exchange, one of the world’s largest and most prominent stock markets.
All labels observed (1)
| Label | Occurrences |
|---|---|
| XLON canonical | 14 |
How this entity was disambiguated
This entity first appeared as the object of triple T9233219 — 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: XLON Context triple: [SBRY, exchangeMic, XLON]
-
A.
HXL
HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
-
B.
XRL
XRL is a high-speed rail line connecting Guangzhou, Shenzhen, and Hong Kong, forming a key part of China’s national high-speed railway network.
-
C.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
D.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
E.
LX
LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
- 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: XLON Target entity description: XLON is the Market Identifier Code for the London Stock Exchange, one of the world’s largest and most prominent stock markets.
-
A.
HXL
HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
-
B.
XRL
XRL is a high-speed rail line connecting Guangzhou, Shenzhen, and Hong Kong, forming a key part of China’s national high-speed railway network.
-
C.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
D.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
E.
LX
LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
MIC
ⓘ
Market Identifier Code ⓘ |
| appliesToAssetClass |
ETFs
ⓘ
equities ⓘ other listed securities ⓘ |
| codeFormat | four-letter alphabetic code ⓘ |
| hasMarketRole |
primary equities market
ⓘ
regulated market ⓘ |
| hasRegulatoryContext |
European securities regulation
ⓘ
MiFID II trading venue identification ⓘ |
| hasStatus | active MIC ⓘ |
| identifies | London Stock Exchange ⓘ |
| identifiesTradingVenueType | stock exchange ⓘ |
| isAssignedBy |
ISO 10383 standard
ⓘ
linked to:
ISO 10383
|
| isAssociatedWithCity |
London
ⓘ
linked to:
London, England
|
| isDistinctFrom |
LCHM
ⓘ
XLME ⓘ |
| isMaintainedBy |
ISO Registration Authority
ⓘ
linked to:
Registration Authority
|
| isOperatedIn | United Kingdom ⓘ |
| isPartOf | global financial market infrastructure ⓘ |
| isReferencedIn |
clearing and settlement systems
ⓘ
financial transaction reports ⓘ market data feeds ⓘ order routing systems ⓘ |
| isRelatedTo |
LSE main market
ⓘ
London Stock Exchange Group ⓘ
linked to:
London Stock Exchange
|
| isUsedFor |
market data identification
ⓘ
post-trade processing ⓘ routing of securities orders ⓘ trade reporting ⓘ |
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: XLON Description of subject: XLON is the Market Identifier Code for the London Stock Exchange, one of the world’s largest and most prominent stock markets.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.