DOCU
E697116
DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DOCU canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7931055 — 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: DOCU Context triple: [DocuSign, tickerSymbol, DOCU]
-
A.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
-
B.
DOC
DOC is the commonly used abbreviation for the Division of Organic Chemistry, a professional organization focused on advancing research and education in organic chemistry.
-
C.
DOC
DOC is the commonly used abbreviation for the New York City Department of Correction, the agency responsible for operating the city’s jail system.
-
D.
DOC
DOC is New Zealand’s government agency responsible for conserving the country’s natural and historic heritage, including national parks, native species, and protected areas.
-
E.
DOCS
DOCS is the stock ticker symbol for Dr. Martens, the British footwear brand best known for its durable leather boots with air-cushioned soles.
- 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: DOCU Target entity description: DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
-
A.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
-
B.
DOC
DOC is the commonly used abbreviation for the New York City Department of Correction, the agency responsible for operating the city’s jail system.
-
C.
DOC
DOC is the commonly used abbreviation for the Division of Organic Chemistry, a professional organization focused on advancing research and education in organic chemistry.
-
D.
DOC
DOC is New Zealand’s government agency responsible for conserving the country’s natural and historic heritage, including national parks, native species, and protected areas.
-
E.
DOCS
DOCS is the stock ticker symbol for Dr. Martens, the British footwear brand best known for its durable leather boots with air-cushioned soles.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | stock ticker symbol ⓘ |
| associatedWith |
contract lifecycle management
ⓘ
digital agreement management ⓘ electronic signature solutions ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| currency | USD ⓘ |
| exchangeSymbol | NASDAQ NERFINISHED ⓘ |
| hasCUSIP | 256163106 ⓘ |
| hasISIN | US2561631068 ⓘ |
| hasUnderlyingCompanyCEO | Allan Thygesen NERFINISHED ⓘ |
| hasUnderlyingCompanyLegalForm | public company ⓘ |
| industry |
Application Software
ⓘ
Software ⓘ |
| isComponentOf |
Nasdaq Composite Index
NERFINISHED
ⓘ
Some technology-focused stock indices ⓘ |
| listedOn | Nasdaq Stock Market NERFINISHED ⓘ |
| primaryListingCountry | United States NERFINISHED ⓘ |
| regulatoryJurisdiction | U.S. Securities and Exchange Commission NERFINISHED ⓘ |
| represents | DocuSign, Inc. NERFINISHED ⓘ |
| sector | Technology ⓘ |
| securityType | equity security ⓘ |
| tradedAs | common stock ⓘ |
| underlyingCompanyFormerName | DocuSign NERFINISHED ⓘ |
| underlyingCompanyFoundedBy | Tom Gonser NERFINISHED ⓘ |
| underlyingCompanyFoundedIn | 2003 ⓘ |
| underlyingCompanyHeadquarters | San Francisco, California, United States NERFINISHED ⓘ |
| underlyingCompanySpecializesIn |
agreement cloud platform
ⓘ
e-signature technology ⓘ |
| underlyingCompanyStockExchangeCode | DOCU NERFINISHED ⓘ |
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: DOCU Description of subject: DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.