Triple

T9712381
Position Surface form Disambiguated ID Type / Status
Subject Atril document viewer E235050 entity
Predicate forkOf P86385 FINISHED
Object Evince E745753 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: Evince | Statement: [Atril document viewer, forkOf, Evince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evince
Context triple: [Atril document viewer, forkOf, Evince]
  • A. Evince chosen
    Evince is a free, open-source document viewer for the GNOME desktop environment that supports formats like PDF, PostScript, DjVu, and TIFF.
  • 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. GNOME Text Editor
    GNOME Text Editor is the modern, default text-editing application for the GNOME desktop environment, designed with a simple interface and integration into the GNOME ecosystem.
  • D. Pluma text editor
    Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
  • E. Thunar
    Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
  • 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.