Triple
T33057364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trivium |
E845877
|
entity |
| Predicate | initializationRounds |
P186484
|
FINISHED |
| Object | 1152 |
—
|
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: 1152 | Statement: [Trivium, initializationRounds, 1152]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initializationRounds Context triple: [Trivium, initializationRounds, 1152]
-
A.
usesVariableNumberOfRounds
Indicates that the action or process operates with a variable, rather than fixed, number of rounds or iterations.
-
B.
roundsReducedSecurity
Indicates that the number of rounds in a process or protocol has been decreased in a way that lowers its security level.
-
C.
compressionFunctionRounds
Indicates the number of iterative rounds performed by a compression function during its operation.
-
D.
roundsFor128BitKey
Indicates the number of algorithmic rounds required when operating with a 128-bit cryptographic key.
-
E.
roundsFiredEstimate
Indicates an estimated number of shots or rounds that have been fired in a given context or event.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 1, 2026, 1:25 a.m.