Triple

T22812944
Position Surface form Disambiguated ID Type / Status
Subject Ecma TC45 E565030 entity
Predicate relatedStandard P37 FINISHED
Object ISO/IEC 29500 NE NERFINISHED

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/IEC 29500 | Statement: [Ecma TC45, relatedStandard, ISO/IEC 29500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO/IEC 29500
Context triple: [Ecma TC45, relatedStandard, ISO/IEC 29500]
  • A. ISO 32000
    ISO 32000 is the international standard that defines the specifications and requirements for the Portable Document Format (PDF).
  • B. ISO/IEC 26300
    ISO/IEC 26300 is the international standard that defines the OpenDocument Format (ODF) for office documents such as text, spreadsheets, and presentations.
  • C. Office Open XML (ECMA-376) chosen
    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.
  • D. ISO 19005
    ISO 19005 is the ISO standard that defines the PDF/A format for long-term archiving of electronic documents.
  • E. ISO/IEC 33001
    ISO/IEC 33001 is an international standard that defines concepts and terminology for process assessment within software and systems engineering.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d61c6f081908d3911710b3aff51 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.