Triple

T2170277
Position Surface form Disambiguated ID Type / Status
Subject Vijay Kumar E48405 entity
Predicate hasResearchContribution P11773 FINISHED
Object control algorithms for teams of unmanned aerial vehicles 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: control algorithms for teams of unmanned aerial vehicles | Statement: [Vijay Kumar, hasResearchContribution, control algorithms for teams of unmanned aerial vehicles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasResearchContribution
Context triple: [Vijay Kumar, hasResearchContribution, control algorithms for teams of unmanned aerial vehicles]
  • A. hasResearchOutput
    Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
  • B. hasResearcher
    Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
  • C. hasNotableResearchOutput
    Indicates that an entity is associated with significant, recognized, or influential research results or publications.
  • D. researchContribution chosen
    Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
  • E. hasResearchArea
    Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.