Triple

T7106024
Position Surface form Disambiguated ID Type / Status
Subject Russia of the Future E165584 entity
Predicate positionOnCorruption P20467 FINISHED
Object investigation and prosecution of corrupt officials 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: investigation and prosecution of corrupt officials | Statement: [Russia of the Future, positionOnCorruption, investigation and prosecution of corrupt officials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnCorruption
Context triple: [Russia of the Future, positionOnCorruption, investigation and prosecution of corrupt officials]
  • A. positionOnReconstruction
    Indicates that one entity expresses a stance, opinion, or role regarding the process or policy of reconstruction.
  • B. positionOnIssue chosen
    Indicates the stance or viewpoint an entity holds regarding a specific issue or topic.
  • C. positionOnCrime
    Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
  • D. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • E. positionOnRevenge
    Indicates a stance or attitude that one entity holds regarding the idea, acceptability, or pursuit of revenge.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5b892008190827fa1e5eab2e558 completed March 27, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69c6e1c313e481908b61a23fc89f9332 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:42 p.m.