Triple
T18016673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | torch.utils.data.Dataset |
E431012
|
entity |
| Predicate | canBeWrappedBy |
P129425
|
FINISHED |
| Object | torch.utils.data.DataLoader |
—
|
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: torch.utils.data.DataLoader | Statement: [torch.utils.data.Dataset, canBeWrappedBy, torch.utils.data.DataLoader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeWrappedBy Context triple: [torch.utils.data.Dataset, canBeWrappedBy, torch.utils.data.DataLoader]
-
A.
canWrap
Indicates that one entity is able to enclose, cover, or surround another entity, typically forming an outer layer or container around it.
-
B.
isTraditionallyWrappedWhen
Indicates that something is customarily enclosed or covered in another material or item during a particular time, event, or circumstance.
-
C.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
D.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
-
E.
canBeAugmentedWith
Indicates that one entity is capable of being enhanced, expanded, or supplemented by another entity.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.