SEBL
E121541
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SEBL canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1015807 — 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.
Target entity: SEBL Context triple: [Siebel Systems, tickerSymbol, SEBL]
-
A.
SEB
SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
-
B.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
-
C.
SE
SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: SEBL Target entity description: SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
A.
SEB
SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
-
B.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
-
C.
SE
SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
software company
ⓘ
software company ⓘ stock ticker symbol ⓘ |
| acquiredBy | Oracle Corporation ⓘ |
| acquiringCompany | Oracle Corporation ⓘ |
| acquisition | Siebel Systems ⓘ |
| associatedCompany | Siebel Systems ⓘ |
| associatedIndustry |
customer relationship management software
ⓘ
enterprise software ⓘ |
| businessModel |
enterprise software licensing
ⓘ
software maintenance and support ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| countryOfExchange |
United States of America
ⓘ
surface form:
United States
|
| delistedDueTo | acquisition of Siebel Systems by Oracle Corporation ⓘ |
| exchangeListedOn | NASDAQ ⓘ |
| foundedBy | Thomas Siebel ⓘ |
| founder | Pat House ⓘ |
| foundingYear | 1993 ⓘ |
| headquartersLocation |
San Mateo, California, United States
ⓘ
surface form:
San Mateo, California
|
| industry |
customer relationship management software
ⓘ
database software ⓘ enterprise software ⓘ enterprise software ⓘ |
| knownFor | CRM software ⓘ |
| listedOn | NASDAQ ⓘ |
| notableProduct |
Siebel Systems
ⓘ
surface form:
Siebel CRM
|
| primaryCustomerType |
corporate customers
ⓘ
large enterprises ⓘ |
| refersTo | Siebel Systems ⓘ |
| status | delisted ⓘ |
| stockTicker | SEBL self-linksurface differs ⓘ |
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.
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.
Subject: SEBL Description of subject: SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.