Triple

T7398443
Position Surface form Disambiguated ID Type / Status
Subject Kobo e-readers E170684 entity
Predicate supportsFormat P203 FINISHED
Object PDF E29775 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: PDF | Statement: [Kobo e-readers, supportsFormat, PDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PDF
Context triple: [Kobo e-readers, supportsFormat, PDF]
  • A. PDF/A
    PDF/A is an ISO-standardized version of the PDF format designed specifically for long-term archiving and reliable reproduction of electronic documents.
  • B. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • C. Portable Document Format chosen
    Portable Document Format (PDF) is a widely used file format designed for reliably presenting and exchanging documents independent of software, hardware, or operating systems.
  • D. FDF
    FDF is the IATA airport code for Martinique Aimé Césaire International Airport, the main air gateway to the Caribbean island of Martinique.
  • E. PDF/X
    PDF/X is a family of ISO-standardized PDF formats designed specifically to ensure reliable, predictable exchange of print-ready graphic content in professional publishing workflows.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24c1c208190a3d11e816888760d completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81106c0788190a3740acf7bb4ab86 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.