Triple
T36491713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relation Networks for few-shot learning |
E899065
|
entity |
| Predicate | relationScoreRange |
—
|
GENERATED |
| Object | [0,1] similarity score |
—
|
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: relationScoreRange Context triple: [Relation Networks for few-shot learning, relationScoreRange, [0,1] similarity score]
-
A.
rankingPointsRange
Indicates the range of ranking points assigned or applicable to an entity within a ranking or scoring system.
-
B.
relationshipReputation
Indicates how one entity’s standing, trustworthiness, or esteem is perceived by another entity or within a given context.
-
C.
relationshipScope
Indicates the contextual boundaries or extent within which a particular relationship between entities is defined or considered valid.
-
D.
relationshipImpact
Indicates how one entity’s relationship with another affects or changes those entities or their interaction.
-
E.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
- F. None of above. chosen
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.