SEAQ
E223470
SEAQ (Stock Exchange Automated Quotations) was the London Stock Exchange’s electronic quote-driven trading system used primarily for smaller and less liquid securities.
All labels observed (2)
| Label | Occurrences |
|---|---|
| SEAQ canonical | 6 |
| SEAQ International | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1975747 — 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: SEAQ Context triple: [SETS, relatedTo, SEAQ]
-
A.
SEA
SEA is the three-letter IATA airport code for Seattle–Tacoma International Airport, the primary commercial airport serving the Seattle metropolitan area in Washington, USA.
-
B.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
-
C.
SavU Sea
The Savu Sea is a small sea in the western Pacific Ocean, located between the Indonesian islands of Sumba, Timor, and Flores, known for its deep waters and rich marine biodiversity.
-
D.
Seascape
Seascape is a Pulitzer Prize-winning play by Edward Albee that blends domestic drama with surreal encounters between humans and evolved sea creatures to explore themes of communication, evolution, and aging.
-
E.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
- 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: SEAQ Target entity description: SEAQ (Stock Exchange Automated Quotations) was the London Stock Exchange’s electronic quote-driven trading system used primarily for smaller and less liquid securities.
-
A.
SEA
SEA is the three-letter IATA airport code for Seattle–Tacoma International Airport, the primary commercial airport serving the Seattle metropolitan area in Washington, USA.
-
B.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
-
C.
SavU Sea
The Savu Sea is a small sea in the western Pacific Ocean, located between the Indonesian islands of Sumba, Timor, and Flores, known for its deep waters and rich marine biodiversity.
-
D.
Seascape
Seascape is a Pulitzer Prize-winning play by Edward Albee that blends domestic drama with surreal encounters between humans and evolved sea creatures to explore themes of communication, evolution, and aging.
-
E.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
electronic trading system
ⓘ
quote-driven trading system ⓘ |
| abbreviationFor | Stock Exchange Automated Quotations ⓘ |
| assetClass | equities ⓘ |
| contrastWith | order-driven trading systems ⓘ |
| country | United Kingdom ⓘ |
| dataProvided |
market size information
ⓘ
real-time bid prices ⓘ real-time offer prices ⓘ |
| designedFor | securities with lower trading volumes ⓘ |
| exchangeSegment |
London Stock Exchange equity market
ⓘ
linked to:
London Stock Exchange
|
| fullName | Stock Exchange Automated Quotations ⓘ |
| function |
display market makers’ bid and offer prices
ⓘ
facilitate trading in less liquid stocks ⓘ |
| hasComponent | market maker quotations ⓘ |
| historicalContext | transition from floor-based to electronic trading on LSE ⓘ |
| historicalSignificance | early electronic quotation system on London Stock Exchange ⓘ |
| informationDisplay | electronic quotation screens ⓘ |
| introducedBy | London Stock Exchange ⓘ |
| liquidityProvision | via competing market makers ⓘ |
| location |
London
ⓘ
linked to:
London, England
|
| marketStructureRole | platform for smaller-cap stocks ⓘ |
| marketType | secondary market ⓘ |
| operatedBy | London Stock Exchange ⓘ |
| operationalMode | continuous trading ⓘ |
| orderHandling | dealer-intermediated ⓘ |
| pricingMechanism | market maker quotes ⓘ |
| primaryUse |
trading less liquid securities
ⓘ
trading smaller securities ⓘ |
| regulatorJurisdiction | UK financial markets regulation ⓘ |
| relatedSystem |
SEAQ International
ⓘ
linked to:
SEAQ
SETS ⓘ |
| requires | registered market makers ⓘ |
| status | largely superseded by order-driven systems ⓘ |
| technologyType | screen-based trading system ⓘ |
| tradingAccess | member firms of London Stock Exchange ⓘ |
| tradingModel | quote-driven ⓘ |
| usedFor |
UK domestic securities
ⓘ
international securities listed in London ⓘ |
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: SEAQ Description of subject: SEAQ (Stock Exchange Automated Quotations) was the London Stock Exchange’s electronic quote-driven trading system used primarily for smaller and less liquid securities.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.