Triple

T9712698
Position Surface form Disambiguated ID Type / Status
Subject Ubuntu MATE E235057 entity
Predicate includes P1393 FINISHED
Object Atril document viewer E235050 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: Atril document viewer | Statement: [Ubuntu MATE, includes, Atril document viewer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atril document viewer
Context triple: [Ubuntu MATE, includes, Atril document viewer]
  • A. Atril document viewer chosen
    Atril document viewer is a lightweight, multi-format document viewer commonly used in Linux environments, particularly within the MATE desktop, to display PDFs, PostScript, and other document types.
  • B. Okular document viewer
    Okular document viewer is a versatile, open-source multi-format document viewer from the KDE ecosystem that supports PDFs, e-books, images, and more with advanced annotation and navigation features.
  • C. Evince
    Evince is a free, open-source document viewer for the GNOME desktop environment that supports formats like PDF, PostScript, DjVu, and TIFF.
  • D. GSview
    GSview is a graphical user interface for viewing and managing PostScript and PDF files using the Ghostscript interpreter.
  • E. LibreOffice
    LibreOffice is a free, open-source office productivity suite that provides word processing, spreadsheets, presentations, and other tools as an alternative to proprietary software like Microsoft Office.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.