Avaya
E90705
Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Avaya canonical | 3 |
| Avaya Aura | 1 |
| Avaya Holdings Corp. | 1 |
| Avaya IP Office | 1 |
| Avaya Inc. | 1 |
| Avaya OneCloud | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T673818 — 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: Avaya Context triple: [Lucent Technologies, spunOffUnit, Avaya]
-
A.
Tandberg
Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
-
B.
Opsware
Opsware was a data center automation and IT infrastructure management software company, best known for being co-founded by Marc Andreessen and later acquired by Hewlett-Packard.
-
C.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
-
D.
Lucent Technologies
Lucent Technologies was a major American telecommunications equipment company, spun off from AT&T, known for its Bell Labs research arm and contributions to networking and communications technology.
-
E.
Northern Telecom
Northern Telecom was a major Canadian telecommunications equipment manufacturer and technology company, later known as Nortel Networks, that played a significant role in global telecom infrastructure.
- 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: Avaya Target entity description: Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
-
A.
Tandberg
Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
-
B.
Opsware
Opsware was a data center automation and IT infrastructure management software company, best known for being co-founded by Marc Andreessen and later acquired by Hewlett-Packard.
-
C.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
-
D.
Lucent Technologies
Lucent Technologies was a major American telecommunications equipment company, spun off from AT&T, known for its Bell Labs research arm and contributions to networking and communications technology.
-
E.
Northern Telecom
Northern Telecom was a major Canadian telecommunications equipment manufacturer and technology company, later known as Nortel Networks, that played a significant role in global telecom infrastructure.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Multinational corporation
ⓘ
Public company ⓘ Technology company ⓘ |
| areaServed | Worldwide ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| foundedBy | Lucent Technologies ⓘ |
| hasBusinessModel | B2B ⓘ |
| hasFormerParentCompany | Lucent Technologies ⓘ |
| hasKeyMarket |
Asia-Pacific
ⓘ
Europe ⓘ North America ⓘ |
| hasOfficialWebsite | https://www.avaya.com ⓘ |
| headquartersLocation |
Durham, North Carolina, United States
ⓘ
linked to:
Durham, North Carolina
|
| inception | 2000 ⓘ |
| industry |
Business communications
ⓘ
Contact center technology ⓘ Software ⓘ Telecommunications equipment ⓘ Unified communications ⓘ |
| legalForm | Corporation ⓘ |
| offers |
Managed services
ⓘ
Professional services ⓘ Support and maintenance services ⓘ |
| originatedFrom |
Lucent Technologies Enterprise Communications Group
ⓘ
linked to:
Lucent Technologies
|
| previousHeadquartersLocation | Santa Clara, California, United States ⓘ |
| product |
Avaya Aura
ⓘ
linked to:
Avaya
Avaya IP Office ⓘ
linked to:
Avaya
Avaya OneCloud ⓘ
linked to:
Avaya
Cloud communications services ⓘ Collaboration tools ⓘ Contact center solutions ⓘ On-premises communications systems ⓘ Unified communications platforms ⓘ |
| serves |
Contact centers
ⓘ
Enterprises ⓘ Government organizations ⓘ Small and medium businesses ⓘ |
| specializesIn |
Call center infrastructure
ⓘ
Cloud-based communications ⓘ Customer experience solutions ⓘ Enterprise communications ⓘ IP telephony ⓘ |
| stockExchange | New York Stock Exchange ⓘ |
| technology |
Contact center routing
ⓘ
Omnichannel communications ⓘ SIP-based communications ⓘ VoIP ⓘ |
| tickerSymbol | AVYA ⓘ |
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: Avaya Description of subject: Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.