Triple

T7388577
Position Surface form Disambiguated ID Type / Status
Subject ISO 32000-2 E170442 entity
Predicate partOf P40 FINISHED
Object ISO 32000 E170442 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: ISO 32000 | Statement: [ISO 32000-2, partOf, ISO 32000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 32000
Context triple: [ISO 32000-2, partOf, ISO 32000]
  • A. ISO 32000 chosen
    ISO 32000 is the international standard that defines the specifications and requirements for the Portable Document Format (PDF).
  • 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. ISO 19005
    ISO 19005 is the ISO standard that defines the PDF/A format for long-term archiving of electronic documents.
  • D. Office Open XML (ECMA-376)
    Office Open XML (ECMA-376) is a standardized, XML-based file format used primarily by Microsoft Office applications for representing word processing documents, spreadsheets, and presentations.
  • E. 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.
  • 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_69c82772400881908d6b11b60a1443bb completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:09 p.m.