Triple

T6364131
Position Surface form Disambiguated ID Type / Status
Subject Caucasian muhajirism E143182 entity
Predicate relatedToProcess P37 FINISHED
Object Russification policies in the Caucasus 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: Russification policies in the Caucasus | Statement: [Caucasian muhajirism, relatedToProcess, Russification policies in the Caucasus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedToProcess
Context triple: [Caucasian muhajirism, relatedToProcess, Russification policies in the Caucasus]
  • A. relatedToProject
    Indicates that an entity has a connection or association with a specific project, without specifying the exact nature of that involvement.
  • B. relatedTo chosen
    Indicates a general, non-specific relationship or association exists between two entities.
  • C. relatedToProduct
    Indicates a general association or connection between an entity and a specific product, without specifying the exact nature of that relationship.
  • D. laterRelationWith
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • E. relatedType
    Indicates that one entity is connected to another through a specified type or category of relationship.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680ed0148190b6e310b15b3449ff completed March 22, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69c060ee055081908c79a1d151bd74cd completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:32 p.m.