Triple

T7388611
Position Surface form Disambiguated ID Type / Status
Subject PDF/UA E170443 entity
Predicate appliesTo P1129 FINISHED
Object Portable Document Format 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: Portable Document Format | Statement: [PDF/UA, appliesTo, Portable Document Format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portable Document Format
Context triple: [PDF/UA, appliesTo, Portable Document Format]
  • A. 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.
  • B. 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.
  • C. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • D. 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.
  • E. Adobe Acrobat
    Adobe Acrobat is a widely used software application for creating, viewing, editing, and managing PDF (Portable Document Format) documents across multiple platforms.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f3f5f48190aabe69ba79cbcb93 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810ed3a00819088c6eee3d8b8a7e9 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.