CERN

E112771

CERN is the stock ticker symbol for Cerner Corporation, a major American health information technology company known for its electronic health record systems.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
CERN canonical 2

Statements (49)

Predicate Object
instanceOf health information technology company
public company
stock ticker symbol
acquiredBy Oracle Corporation
acquisitionAnnounced 2021
acquisitionCompleted 2022
country United States of America
surface form: United States
countryOfHeadquarters United States of America
surface form: United States
focusesOn clinical workflows
digitization of medical records
health data interoperability
healthcare data analytics
formerName PGI & Associates
foundedBy Cliff Illig
Neal Patterson
Paul Gorup
hasClient healthcare organizations worldwide
hospitals in the United States
hasCompetitor Allscripts
Epic Systems
MEDITECH
hasProduct Cerner
surface form: Cerner Millennium

HealtheIntent
PowerChart
headquartersLocation North Kansas City, Missouri
inception 1979
industry electronic health records
health information technology
healthcare IT
knownFor EHR software
electronic health record systems
health information technology solutions
languageOfProducts English
legalForm corporation
listedOn NASDAQ
locatedInTimeZone Central Time Zone
offersService clinical information systems
healthcare analytics
interoperability solutions
population health management
revenue cycle management
parentOrganization Oracle Corporation
represents Cerner
surface form: Cerner Corporation
servesIndustry health systems
hospitals
physician practices
stockExchange NASDAQ
stockTicker CERN self-linksurface differs
website https://www.cerner.com/

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: CERN
Description of subject: CERN is the stock ticker symbol for Cerner Corporation, a major American health information technology company known for its electronic health record systems.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Cerner tickerSymbol CERN
CERN stockTicker CERN self-linksurface differs
subject surface form: Cerner Corporation