Triple
T33057355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trivium |
E845877
|
entity |
| Predicate | outputGranularity |
P176390
|
FINISHED |
| Object | 1 bit per clock cycle |
—
|
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: 1 bit per clock cycle | Statement: [Trivium, outputGranularity, 1 bit per clock cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputGranularity Context triple: [Trivium, outputGranularity, 1 bit per clock cycle]
-
A.
granularityLevel
Indicates the degree of detail or resolution at which something is specified, measured, or analyzed within a given context.
-
B.
scalingGranularity
Indicates the level of detail or resolution at which a quantity, process, or system is adjusted or scaled.
-
C.
controlGranularity
Indicates the level of detail or fineness with which control or regulation is applied within a given process or system.
-
D.
fileGranularity
Indicates that something is characterized or organized at the level of individual files, rather than at a coarser or finer granularity.
-
E.
executionGranularity
Indicates the level of detail or subdivision at which an operation, task, or process is carried out or controlled.
- 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_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:25 a.m.