Factiva
E358317
Factiva is a global news and business information database that aggregates content from thousands of newspapers, journals, and other sources for research and analysis.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Factiva canonical | 2 |
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
business information database
ⓘ
news database ⓘ online service ⓘ |
| accessModel | subscription-based ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| dataCoverage |
global
ⓘ
historical archives ⓘ real-time news ⓘ |
| hasContentType |
blogs
ⓘ
company reports ⓘ industry reports ⓘ magazines ⓘ market research ⓘ multilingual news ⓘ newspapers ⓘ newswires ⓘ trade journals ⓘ transcripts ⓘ web news ⓘ |
| hasFeature |
API access
ⓘ
advanced search filters ⓘ alerts ⓘ company screening ⓘ custom news feeds ⓘ deduplication of articles ⓘ full-text search ⓘ industry analysis tools ⓘ news monitoring ⓘ translation tools ⓘ |
| hasInterface |
integrations with enterprise systems
ⓘ
web-based interface ⓘ |
| industry |
business intelligence
ⓘ
information services ⓘ media ⓘ news aggregation ⓘ |
| operatedBy | Dow Jones & Company ⓘ |
| ownedBy | Dow Jones & Company ⓘ |
| parentCompany | Dow Jones & Company ⓘ |
| targetUser |
consultants
ⓘ
corporate users ⓘ financial institutions ⓘ libraries ⓘ researchers ⓘ |
| useCase |
academic research
ⓘ
business research ⓘ competitive intelligence ⓘ corporate communications ⓘ market analysis ⓘ media monitoring ⓘ risk management ⓘ |
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: Factiva Description of subject: Factiva is a global news and business information database that aggregates content from thousands of newspapers, journals, and other sources for research and analysis.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.