Triple

T6790305
Position Surface form Disambiguated ID Type / Status
Subject Ghostscript E155913 entity
Predicate supportsStandard P1587 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: [Ghostscript, supportsStandard, Portable Document Format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portable Document Format
Context triple: [Ghostscript, supportsStandard, 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. Adobe Acrobat
    Adobe Acrobat is a widely used software application for creating, viewing, editing, and managing PDF (Portable Document Format) documents across multiple platforms.
  • E. OpenDocument format
    OpenDocument format is an open, XML-based file format standard for office documents such as text, spreadsheets, and presentations, designed for interoperability across different software suites.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8c445c8190abea97a04d648f52 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.