Triple

T7636400
Position Surface form Disambiguated ID Type / Status
Subject PDF/X E172888 entity
Predicate hasVersion P455 FINISHED
Object PDF/X‑5g E172888 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/X‑5g | Statement: [PDF/X, hasVersion, PDF/X‑5g]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PDF/X‑5g
Context triple: [PDF/X, hasVersion, PDF/X‑5g]
  • A. PDF/X chosen
    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.
  • B. 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.
  • C. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • D. PDF/UA
    PDF/UA is an ISO-standardized version of the PDF format specifically designed to ensure documents are accessible to users with disabilities and compatible with assistive technologies.
  • E. PostScript
    PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa95e488190962c23609e0890a5 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870c33ce081908df916d769fa84be completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.