Triple
T36491689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relation Networks for few-shot learning |
E899065
|
entity |
| Predicate | trainingMimics |
P20525
|
FINISHED |
| Object | few-shot evaluation episodes |
—
|
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: few-shot evaluation episodes | Statement: [Relation Networks for few-shot learning, trainingMimics, few-shot evaluation episodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingMimics Context triple: [Relation Networks for few-shot learning, trainingMimics, few-shot evaluation episodes]
-
A.
trainingModality
Indicates the method or format through which training or instruction is delivered or conducted.
-
B.
trainingUse
chosen
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
C.
trainerModel
Indicates that one entity serves as the trainer or training source for a model entity.
-
D.
trainingUnder
Indicates that one entity is receiving instruction, guidance, or mentorship from another, typically in a subordinate or apprentice-like capacity.
-
E.
trainingIn
Indicates that one entity is undergoing or receiving training within the context, program, or domain specified 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:10 p.m.