Triple
T36491639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prototypical Networks |
E899064
|
entity |
| Predicate | representsClassAs |
P160901
|
FINISHED |
| Object | mean of embedded support examples |
—
|
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: mean of embedded support examples | Statement: [Prototypical Networks, representsClassAs, mean of embedded support examples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsClassAs Context triple: [Prototypical Networks, representsClassAs, mean of embedded support examples]
-
A.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
B.
representsInCPL
Indicates that an entity serves as a representation of another entity within a specific CPL (e.g., a particular conceptual, computational, or coding language) framework.
-
C.
providesRepresentationFor
chosen
Indicates that one entity serves as a representation, model, or stand-in for another entity, conveying or embodying its form, properties, or meaning.
-
D.
betterRepresents
Indicates that one entity provides a more accurate, appropriate, or faithful representation of something than another entity does.
-
E.
representedSoundClass
Indicates that one entity serves as a representation or instance of a particular class or category of sounds associated with 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_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: May 3, 2026, 4:10 p.m.