Triple
T18016660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | torch.utils.data.Dataset |
E431012
|
entity |
| Predicate | requiresImplementationOf |
P16478
|
FINISHED |
| Object | __len__ |
—
|
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: __len__ | Statement: [torch.utils.data.Dataset, requiresImplementationOf, __len__]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresImplementationOf Context triple: [torch.utils.data.Dataset, requiresImplementationOf, __len__]
-
A.
mandatesImplementationOf
chosen
Indicates that one entity requires or enforces the implementation or execution of another entity (such as a policy, standard, or procedure).
-
B.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
-
C.
usesImplement
Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
-
D.
implementedFor
Indicates that one entity has been created, developed, or configured to operate on behalf of, or to fulfill the needs or requirements of, another entity.
-
E.
isImplementationOf
Indicates that one entity realizes, fulfills, or concretely carries out the specification, interface, or abstract definition provided by another entity.
- 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_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. |
Created at: April 10, 2026, 10:24 a.m.