Triple
T4616835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 27018 |
E100887
|
entity |
| Predicate | typeOfControlSet |
P56961
|
FINISHED |
| Object | code of practice |
—
|
LITERAL 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: code of practice | Statement: [ISO/IEC 27018, typeOfControlSet, code of practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfControlSet Context triple: [ISO/IEC 27018, typeOfControlSet, code of practice]
-
A.
typeOfControl
Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
-
B.
typeOfSets
Indicates that one entity specifies or classifies the kind or category of sets to which another entity belongs.
-
C.
controlFrom
Indicates that one entity exercises authority, influence, or regulatory power over another entity or process.
-
D.
rangeControlledBy
Indicates that the extent or scope of something is regulated, limited, or determined by another entity.
-
E.
controlUnitType
Indicates the specific kind or category of control unit associated with or assigned to an entity.
- F. None of above. chosen
Provenance (4 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e098c08190b769e76937dff700 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1:12 p.m.