Triple

T36491705
Position Surface form Disambiguated ID Type / Status
Subject Relation Networks for few-shot learning E899065 entity
Predicate inspiredFollowUpWork P184019 FINISHED
Object relation-based few-shot segmentation methods 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: relation-based few-shot segmentation methods | Statement: [Relation Networks for few-shot learning, inspiredFollowUpWork, relation-based few-shot segmentation methods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inspiredFollowUpWork
Context triple: [Relation Networks for few-shot learning, inspiredFollowUpWork, relation-based few-shot segmentation methods]
  • A. inspiredFollowup chosen
    Indicates that one action, idea, or event was created as a direct follow-up in response to inspiration from another.
  • B. influencedWork
    Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
  • C. followsWork
    Indicates that one work (such as a publication, version, or creative piece) comes directly after another in sequence or succession.
  • D. followsUp
    Indicates that one entity continues, responds to, or builds upon a previous entity, typically as a subsequent action, communication, or step.
  • E. inspiredWorksOf
    Indicates that one entity served as the source of inspiration or creative influence for the works produced by 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_69fd592e48cc81909d754cc6c4bd99ae completed May 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69fd58b7f9b881909dc099b28d567784 completed May 8, 2026, 3:30 a.m.
Created at: May 3, 2026, 4:10 p.m.