Domo
E642867
Domo is a cloud-based business intelligence and data visualization platform that helps organizations integrate, analyze, and share real-time data for decision-making.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Domo canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7113639 — 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: Domo Context triple: [Bezos Expeditions, notableInvestmentIn, Domo]
-
A.
Daisi
Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
-
B.
Mengo
Mengo is a historic hill and neighborhood in Kampala, Uganda, that served as the traditional political and cultural center of the Kingdom of Buganda.
-
C.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
D.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
-
E.
Dededo
Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
- 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: Domo Target entity description: Domo is a cloud-based business intelligence and data visualization platform that helps organizations integrate, analyze, and share real-time data for decision-making.
-
A.
Daisi
Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
-
B.
Mengo
Mengo is a historic hill and neighborhood in Kampala, Uganda, that served as the traditional political and cultural center of the Kingdom of Buganda.
-
C.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
D.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
-
E.
Dededo
Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
cloud-based business intelligence platform
ⓘ
data visualization platform ⓘ software as a service ⓘ |
| deploymentModel | cloud ⓘ |
| hasFeature |
ETL capabilities
ⓘ
alerts and notifications ⓘ collaborative analytics ⓘ customizable dashboards ⓘ data connectors ⓘ data governance tools ⓘ data integration ⓘ data visualization ⓘ embedded analytics ⓘ mobile access ⓘ real-time data dashboards ⓘ role-based access control ⓘ |
| industry |
business intelligence
ⓘ
cloud computing ⓘ data analytics ⓘ data visualization ⓘ |
| integratesWith |
cloud applications
ⓘ
databases ⓘ on-premises data sources ⓘ spreadsheets ⓘ |
| provides |
APIs for data integration
ⓘ
data security features ⓘ governance capabilities ⓘ pre-built data connectors ⓘ |
| serviceModel | SaaS ⓘ |
| supports |
custom calculations
ⓘ
data blending ⓘ real-time data refresh ⓘ sharing dashboards with stakeholders ⓘ |
| supportsFunction |
KPI tracking
ⓘ
data integration from multiple sources ⓘ data transformation ⓘ data visualization for decision-making ⓘ executive dashboards ⓘ self-service analytics ⓘ |
| targetUser |
business analysts
ⓘ
data analysts ⓘ executives ⓘ operations managers ⓘ |
| usedFor |
business performance monitoring
ⓘ
data storytelling ⓘ data-driven decision-making ⓘ enterprise dashboards ⓘ real-time reporting ⓘ |
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: Domo Description of subject: Domo is a cloud-based business intelligence and data visualization platform that helps organizations integrate, analyze, and share real-time data for decision-making.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.