Triple
T36491686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relation Networks for few-shot learning |
E899065
|
entity |
| Predicate | relationModuleType |
—
|
GENERATED |
| Object | neural network that outputs similarity scores |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationModuleType Context triple: [Relation Networks for few-shot learning, relationModuleType, neural network that outputs similarity scores]
-
A.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
B.
moduleType
chosen
Indicates the classification or category of a module in terms of its functional or structural type.
-
C.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
unitRelation
Indicates a relationship between units, such as how one unit is associated with, derived from, or converted to another.
-
E.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
- F. None of above.
Provenance (1 batch)
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. |
Created at: May 3, 2026, 4:10 p.m.