Triple
T19259230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEC 62443 |
E481599
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | IEC 62443-4-1 |
—
|
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 62443-4-1 | Statement: [IEC 62443, hasPart, IEC 62443-4-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEC 62443-4-1 Context triple: [IEC 62443, hasPart, IEC 62443-4-1]
-
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 27041
ISO/IEC 27041 is an international standard that provides guidelines for ensuring the suitability and reliability of incident investigation methods in information security.
-
D.
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.
-
E.
ISO/IEC 27040
ISO/IEC 27040 is an international standard that provides guidelines and best practices for securing storage systems and data in the context of information security management.
- 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.