Triple
T4277044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GridSearchCV |
E97067
|
entity |
| Predicate | parallelization |
P34884
|
FINISHED |
| Object | uses joblib for parallel computation |
—
|
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: uses joblib for parallel computation | Statement: [GridSearchCV, parallelization, uses joblib for parallel computation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelization Context triple: [GridSearchCV, parallelization, uses joblib for parallel computation]
-
A.
isParallelizable
chosen
Indicates that a process, task, or operation can be decomposed into independent parts that may be executed concurrently without affecting correctness.
-
B.
parallelSubdivision
Indicates that one structure or process is divided into multiple parts that proceed or are handled simultaneously alongside each other.
-
C.
multitasking
Indicates performing multiple tasks or activities at the same time or in rapid alternation.
-
D.
parallelEvent
Indicates that two or more events occur at the same time or overlap in time without a required order between them.
-
E.
parallelPassage
Indicates that one text segment corresponds closely in content or structure to another, such that they can be considered parallel versions or accounts of the same material.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501ef1388190b0c968b069014a59 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.