Triple

T19259225
Position Surface form Disambiguated ID Type / Status
Subject IEC 62443 E481599 entity
Predicate hasPart P35 FINISHED
Object IEC 62443-2-3 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: IEC 62443-2-3 | Statement: [IEC 62443, hasPart, IEC 62443-2-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IEC 62443-2-3
Context triple: [IEC 62443, hasPart, IEC 62443-2-3]
  • A. IEC 62443 chosen
    IEC 62443 is an international standard that provides a comprehensive framework for cybersecurity of industrial automation and control systems.
  • B. ISO/IEC 27043
    ISO/IEC 27043 is an international standard that provides guidelines and principles for conducting digital forensic investigations within information security management.
  • C. ISO/IEC 27042
    ISO/IEC 27042 is an international standard that provides guidelines for the analysis and interpretation of digital evidence within information security incident investigations.
  • D. ISO/IEC 23273
    ISO/IEC 23273 is an international standard that specifies safety requirements for hydrogen-fueled road vehicles, particularly focusing on fuel cell vehicle safety.
  • E. ISO/IEC 23270
    ISO/IEC 23270 is the international standard that formally defines the C# programming language specification.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8858588190a04e2a01e43fb7b2 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.