Triple
T36491645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prototypical Networks |
E899064
|
entity |
| Predicate | optimizedWith |
P185599
|
FINISHED |
| Object | cross-entropy loss over episodic tasks |
—
|
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: cross-entropy loss over episodic tasks | Statement: [Prototypical Networks, optimizedWith, cross-entropy loss over episodic tasks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: optimizedWith Context triple: [Prototypical Networks, optimizedWith, cross-entropy loss over episodic tasks]
-
A.
optimize
Indicates improving a process, system, or outcome to achieve the best possible performance or efficiency under given constraints.
-
B.
lessOptimizedFor
Indicates that one entity is designed, configured, or adapted to perform a task or function with lower efficiency or effectiveness compared to another entity.
-
C.
optimizationSupport
Indicates that one entity provides assistance, tools, or capabilities to improve the performance, efficiency, or quality of another entity or process.
-
D.
costOptimized
Indicates that an action, process, or solution is arranged or configured to minimize cost while maintaining required performance or constraints.
-
E.
canBeOptimizedFor
Indicates that one entity is capable of being improved or adjusted to perform better with respect to another specified criterion, context, or target.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.