Triple

T9705871
Position Surface form Disambiguated ID Type / Status
Subject Amazon Lab126 E234895 entity
Predicate brandOwner P347 FINISHED
Object Kindle (brand) 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 (brand) | Statement: [Amazon Lab126, brandOwner, Kindle (brand)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kindle (brand)
Context triple: [Amazon Lab126, brandOwner, Kindle (brand)]
  • A. Kindle chosen
    Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
  • B. 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.
  • C. 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.
  • D. Nook e-reader
    The Nook e-reader is Barnes & Noble’s line of electronic reading devices designed for purchasing, downloading, and reading digital books and other publications.
  • E. Onyx Boox e-readers
    Onyx Boox e-readers are Android-based digital reading devices known for their versatile app support, stylus-enabled note-taking, and eye-friendly E Ink displays.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da369b4819081f6ce01289ed725 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f800ec48190bc3028ecb3baeb28 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.