Triple
T19259028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEC 61508 |
E481595
|
entity |
| Predicate | part5Title |
P135085
|
FINISHED |
| Object | Examples of methods for the determination of safety integrity levels |
—
|
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: Examples of methods for the determination of safety integrity levels | Statement: [IEC 61508, part5Title, Examples of methods for the determination of safety integrity levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: part5Title Context triple: [IEC 61508, part5Title, Examples of methods for the determination of safety integrity levels]
-
A.
fourthPartTitle
Indicates that the specified title is the fourth part in a sequence or multi-part work.
-
B.
thirdPartTitle
Indicates that an entity holds the title or designation of the third part in a sequence, series, or multipart structure.
-
C.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
D.
titleOfPart
Indicates that one entity is the title specifically assigned to a part or section of another, larger work or resource.
-
E.
firstPartTitle
Indicates that one entity is the first part or initial segment of the title of another 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8858588190a04e2a01e43fb7b2 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:28 p.m.