Triple
T18281230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIV mode |
E437867
|
entity |
| Predicate | firstPassOperation |
P131161
|
FINISHED |
| Object | MAC computation to derive synthetic IV |
—
|
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: MAC computation to derive synthetic IV | Statement: [SIV mode, firstPassOperation, MAC computation to derive synthetic IV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPassOperation Context triple: [SIV mode, firstPassOperation, MAC computation to derive synthetic IV]
-
A.
firstLineInOperation
Indicates that one entity is the first line or initial step executed within a particular operation or process.
-
B.
primaryOperation
Indicates the main or most important operation performed or used by an entity in a given context.
-
C.
firstStepIn
Indicates that one event, action, or process is the initial step in a larger sequence or procedure involving another.
-
D.
firstOperationalTarget
Indicates that an entity is designated as the initial or primary target to be acted upon or engaged in an operation.
-
E.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50056ea0481908d66bf263ac80c75 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:35 a.m.