Triple

T7088568
Position Surface form Disambiguated ID Type / Status
Subject Amazon Kindle Store E165135 entity
Predicate supportsProgram P178 FINISHED
Object Amazon Prime Reading E122393 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: Amazon Prime Reading | Statement: [Amazon Kindle Store, supportsProgram, Amazon Prime Reading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Prime Reading
Context triple: [Amazon Kindle Store, supportsProgram, Amazon Prime Reading]
  • A. 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.
  • 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. Audible
    Audible is a leading audiobook and spoken-word entertainment platform that offers a vast library of audio content through digital downloads and streaming.
  • D. Amazon Prime chosen
    Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
  • E. Kindle
    Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
  • 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_69c794888abc8190ada2ae826449745a completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:41 p.m.