Triple
T25726396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP2K |
E645123
|
entity |
| Predicate | supportsParallelization |
P102485
|
FINISHED |
| Object | MPI |
—
|
NE NERFINISHED |
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: MPI | Statement: [CP2K, supportsParallelization, MPI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsParallelization Context triple: [CP2K, supportsParallelization, MPI]
-
A.
supportsParallelProgrammingModel
chosen
Indicates that one entity provides facilities or mechanisms enabling the use of a parallel programming model with another entity.
-
B.
isParallelizable
Indicates that a process, task, or operation can be decomposed into independent parts that may be executed concurrently without affecting correctness.
-
C.
supportsParallelEncryption
Indicates that the subject is capable of performing encryption operations in parallel, rather than strictly sequentially.
-
D.
hasParallelImplementation
Indicates that one implementation of a function, process, or algorithm has a corresponding version designed to run in parallel.
-
E.
hasParallelIn
Indicates that one entity has a corresponding or analogous counterpart in another context, system, or domain.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 21, 2026, 11:04 p.m.