Triple

T1499904
Position Surface form Disambiguated ID Type / Status
Subject Adobe Acrobat E29771 entity
Predicate supportsStandard P1587 FINISHED
Object PDF/A 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: PDF/A | Statement: [Adobe Acrobat, supportsStandard, PDF/A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PDF/A
Context triple: [Adobe Acrobat, supportsStandard, PDF/A]
  • A. 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.
  • B. 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.
  • C. Adobe Acrobat
    Adobe Acrobat is a widely used software application for creating, viewing, editing, and managing PDF (Portable Document Format) documents across multiple platforms.
  • D. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • E. Adobe PageMaker
    Adobe PageMaker was one of the first widely used desktop publishing applications, popular in the 1980s and 1990s for creating professional-quality printed documents such as brochures, newsletters, and books.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f2d7f881909188a3e5614335cd completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb19b708190a28b1a0037860202 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:12 p.m.