Triple
T18016672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | torch.utils.data.Dataset |
E431012
|
entity |
| Predicate | typicalReturnTypeOfGetItem |
P76740
|
FINISHED |
| Object | (sample, target) tuple |
—
|
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: (sample, target) tuple | Statement: [torch.utils.data.Dataset, typicalReturnTypeOfGetItem, (sample, target) tuple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReturnTypeOfGetItem Context triple: [torch.utils.data.Dataset, typicalReturnTypeOfGetItem, (sample, target) tuple]
-
A.
typicalItem
Indicates that an item is a representative or characteristic example of a broader category, class, or set.
-
B.
typicalReturnCargo
Indicates that something is the kind of cargo that is usually carried back on a return trip or journey.
-
C.
typicalObjectType
chosen
Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
-
D.
bodyReturnType
Indicates the data type of the value that a method or function returns in its response body.
-
E.
typicalEntryType
Indicates the usual or standard category or kind of entry associated with something.
- 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.