Whispersync

E165137

Amazon Kindle feature Amazon feature synchronization technology

Whispersync is an Amazon Kindle technology that automatically syncs a reader’s last page read, bookmarks, and annotations across devices and apps.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label	Occurrences
Whispersync canonical	2

Statements (38)

Predicate	Object
instanceOf	Amazon Kindle feature ⓘ Amazon feature ⓘ synchronization technology ⓘ
availableFor	Kindle Store content ⓘ supported Kindle books ⓘ
brandOwner	Amazon ⓘ surface form: Amazon.com, Inc.
category	cloud synchronization service ⓘ digital reading technology ⓘ
dataTypeSynced	bookmarks ⓘ highlights ⓘ notes ⓘ reading position ⓘ
developer	Amazon ⓘ Amazon ⓘ
hasFeature	automatic syncing ⓘ cloud-based storage of reading state ⓘ resume reading on another device ⓘ
hasVersion	Whispersync for Voice ⓘ
marketedAs	Whispersync self-link ⓘ
operatesOn	Kindle Cloud Reader ⓘ Kindle ⓘ surface form: Kindle desktop apps Kindle ⓘ surface form: Kindle e-readers Kindle ⓘ surface form: Kindle mobile apps
partOf	Amazon digital content services ⓘ surface form: Amazon Kindle ecosystem Amazon digital content services ⓘ surface form: Amazon Kindle ecosystem
platform	Kindle ⓘ surface form: Amazon Kindle
relatedTo	Audible ⓘ Kindle ⓘ Amazon Kindle Store ⓘ surface form: Kindle Store
requires	Amazon account ⓘ
supports	multi-device reading ⓘ synchronization over the internet ⓘ
usedFor	cross-device reading continuity ⓘ synchronizing Kindle ebooks with Audible audiobooks ⓘ synchronizing annotations ⓘ synchronizing bookmarks ⓘ synchronizing last page read ⓘ synchronizing reading progress ⓘ

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: Whispersync
Description of subject: Whispersync is an Amazon Kindle technology that automatically syncs a reader’s last page read, bookmarks, and annotations across devices and apps.

Referenced by (2)

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

Kindle → feature → Whispersync ⓘ

Whispersync → marketedAs → Whispersync self-link ⓘ