Triple
T34674411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cuDF |
E890457
|
entity |
| Predicate | acceleratedBy |
P141196
|
FINISHED |
| Object | GPU |
—
|
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: GPU | Statement: [cuDF, acceleratedBy, GPU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceleratedBy Context triple: [cuDF, acceleratedBy, GPU]
-
A.
accelerates
Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
-
B.
acceleratedAfter
Indicates that one entity increases its speed or rate of change following, and as a consequence of, another specified event or condition.
-
C.
usedAccelerator
Indicates that an entity has applied or made use of an accelerator (such as a device, mechanism, or process) to increase speed, performance, or progress in relation to another entity or activity.
-
D.
accelerationElement
chosen
Indicates that one entity is an element or component contributing to the acceleration of another entity or process.
-
E.
acceleratesOperation
Indicates that one entity speeds up or enhances the efficiency of another entity’s operation or process.
- F. None of above.
Provenance (3 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72322256c8190afb14d73a2612b6f |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.