Triple

T18265812
Position Surface form Disambiguated ID Type / Status
Subject PK E437479 entity
Predicate usedBy P260 FINISHED
Object xdvi NE NERFINISHED

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: xdvi | Statement: [PK, usedBy, xdvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: xdvi
Context triple: [PK, usedBy, xdvi]
  • A. GSview
    GSview is a graphical user interface for viewing and managing PostScript and PDF files using the Ghostscript interpreter.
  • B. TeXworks
    TeXworks is a free, cross-platform LaTeX editing environment that provides an integrated PDF viewer and a simple, TeXShop-inspired interface for creating and typesetting documents.
  • C. XeTeX
    XeTeX is an extension of the TeX typesetting system that natively supports Unicode and modern font technologies like OpenType, enabling high-quality multilingual and typographically advanced document production.
  • D. Evince
    Evince is a free, open-source document viewer for the GNOME desktop environment that supports formats like PDF, PostScript, DjVu, and TIFF.
  • E. GFtoDVI utility chosen
    The GFtoDVI utility is a program that converts METAFONT-generated generic font (GF) files into DVI (DeVice Independent) files for previewing and debugging fonts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.