Triple
T11003622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matching Networks for One Shot Learning |
E260058
|
entity |
| Predicate | evaluationProtocol |
P750
|
FINISHED |
| Object | N-way K-shot classification |
—
|
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: N-way K-shot classification | Statement: [Matching Networks for One Shot Learning, evaluationProtocol, N-way K-shot classification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationProtocol Context triple: [Matching Networks for One Shot Learning, evaluationProtocol, N-way K-shot classification]
-
A.
evaluationUse
Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
-
B.
evaluationRole
Indicates the role or capacity in which an entity participates in an evaluation or assessment process.
-
C.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
D.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
E.
evaluationAuthority
Indicates that one entity has the formal responsibility or power to assess, judge, or determine the quality, validity, or performance of another entity or its outputs.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.