Kobo e-readers
E170684
Kobo e-readers are a line of digital reading devices known for their wide format support, integration with public libraries, and openness compared to many competing platforms.
All labels observed (15)
| Label | Occurrences |
|---|---|
| Kobo e-readers canonical | 4 |
| Kobo | 3 |
| Kobo Aura series (discontinued) | 1 |
| Kobo Clara 2E | 1 |
| Kobo Clara series | 1 |
| Kobo Elipsa series | 1 |
| Kobo Glo series (discontinued) | 1 |
| Kobo Inc. | 1 |
| Kobo Libra series | 1 |
| Kobo Sage | 1 |
| Kobo Touch (early model) | 1 |
| Kobo e-reader | 1 |
| Kobo eReader | 1 |
| Kobo eReaders | 1 |
| Kobo mobile apps | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1447824 — 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: Kobo e-readers Context triple: [Kindle, competesWith, Kobo e-readers]
-
A.
Kindle
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
-
B.
Google Play Books
Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
-
C.
Rocket eBook at NuvoMedia
Rocket eBook at NuvoMedia was one of the first commercially produced handheld electronic book readers, co-developed by engineer and entrepreneur Marc Tarpenning in the late 1990s.
-
D.
Amazon Kindle Store
Amazon Kindle Store is Amazon’s online marketplace for purchasing and downloading digital books, magazines, and other e‑reading content for Kindle devices and apps.
-
E.
Barnes & Noble
Barnes & Noble is a major American bookselling chain known for its large retail bookstores that offer a wide selection of books, magazines, and related media, often alongside in-store cafés.
- 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: Kobo e-readers Target entity description: Kobo e-readers are a line of digital reading devices known for their wide format support, integration with public libraries, and openness compared to many competing platforms.
-
A.
Kindle
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
-
B.
Google Play Books
Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
-
C.
Rocket eBook at NuvoMedia
Rocket eBook at NuvoMedia was one of the first commercially produced handheld electronic book readers, co-developed by engineer and entrepreneur Marc Tarpenning in the late 1990s.
-
D.
Amazon Kindle Store
Amazon Kindle Store is Amazon’s online marketplace for purchasing and downloading digital books, magazines, and other e‑reading content for Kindle devices and apps.
-
E.
Barnes & Noble
Barnes & Noble is a major American bookselling chain known for its large retail bookstores that offer a wide selection of books, magazines, and related media, often alongside in-store cafés.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
consumer electronics product
ⓘ
e-reader line ⓘ |
| competesWith |
Amazon Kindle e-readers
ⓘ
Barnes & Noble Nook e-readers ⓘ
linked to:
Nook e-reader
|
| contentSource | Kobo eBookstore ⓘ |
| developedBy |
Kobo Inc.
ⓘ
linked to:
Kobo e-readers
|
| firstReleaseYear | 2010 (first Kobo e-reader) ⓘ |
| hasFeature |
E Ink display
ⓘ
Wi‑Fi connectivity ⓘ font customization ⓘ front light for reading in the dark ⓘ margin and line spacing adjustment ⓘ note taking and highlighting ⓘ on-device dictionary ⓘ reading statistics ⓘ sync across devices via Kobo account ⓘ touchscreen ⓘ |
| hasModel |
Kobo Aura series (discontinued)
ⓘ
linked to:
Kobo e-readers
Kobo Clara series ⓘ
linked to:
Kobo e-readers
Kobo Elipsa series ⓘ
linked to:
Kobo e-readers
Kobo Glo series (discontinued) ⓘ
linked to:
Kobo e-readers
Kobo Libra series ⓘ
linked to:
Kobo e-readers
Kobo Nia ⓘ Kobo Sage ⓘ
linked to:
Kobo e-readers
Kobo Touch (early model) ⓘ
linked to:
Kobo e-readers
|
| integratesWith | OverDrive ⓘ |
| knownFor |
integration with public library lending
ⓘ
less restrictive DRM ecosystem than some competitors ⓘ openness compared to many competing e-reading platforms ⓘ support for user-supplied fonts ⓘ wide e-book format support ⓘ |
| market | global e-book reader market ⓘ |
| operatingSystem | Linux-based firmware ⓘ |
| ownedBy |
Rakuten
ⓘ
linked to:
Rakuten Group
|
| productType | dedicated e-book reader ⓘ |
| supportsDRM | Adobe Digital Editions ⓘ |
| supportsFormat |
Adobe DRM–protected EPUB
ⓘ
CBR ⓘ CBZ ⓘ EPUB ⓘ EPUB3 ⓘ HTML (with limitations) ⓘ MOBI (with limitations or conversion) ⓘ PDF ⓘ
linked to:
Portable Document Format
plain text ⓘ |
| supportsFunction |
borrowing e-books from public libraries via OverDrive (in supported regions)
ⓘ
purchasing e-books from Kobo Store ⓘ sideloading e-books via Calibre ⓘ sideloading e-books via USB ⓘ |
| supportsLanguage | multiple interface languages ⓘ |
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: Kobo e-readers Description of subject: Kobo e-readers are a line of digital reading devices known for their wide format support, integration with public libraries, and openness compared to many competing platforms.
Referenced by (20)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers
linked to: Kobo e-readers