Triple

T7088641
Position Surface form Disambiguated ID Type / Status
Subject Whispersync E165137 entity
Predicate operatesOn P23 FINISHED
Object Kindle mobile apps E31214 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kindle mobile apps | Statement: [Whispersync, operatesOn, Kindle mobile apps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kindle mobile apps
Context triple: [Whispersync, operatesOn, Kindle mobile apps]
  • A. Kindle Cloud Reader
    Kindle Cloud Reader is a web-based application by Amazon that lets users read and manage their Kindle ebooks directly in a browser without needing a dedicated device or app.
  • B. Kindle chosen
    Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
  • C. Kobo e-readers
    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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e52d26f08190917e5e13b181bdae completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31e3fec8190b22da130f7cbaaf9 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:41 p.m.