Triple

T5162477
Position Surface form Disambiguated ID Type / Status
Subject Ramzan Kadyrov E116466 entity
Predicate styleOfGovernance P40450 FINISHED
Object authoritarian 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: authoritarian | Statement: [Ramzan Kadyrov, styleOfGovernance, authoritarian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: styleOfGovernance
Context triple: [Ramzan Kadyrov, styleOfGovernance, authoritarian]
  • A. governingStyleAssociatedWith chosen
    Indicates a relationship where a particular governing style, method, or approach is linked or attributed to a specific entity (such as a leader, regime, or organization).
  • B. typeOfGovernmentAfter
    Indicates the form of government that exists or is established in a place following a specified event or time period.
  • C. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • D. typeOfSelfGovernment
    Indicates the specific form or system of self-governance exercised by an entity, such as its degree or structure of political autonomy.
  • E. opposedFormOfGovernment
    Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79268ea48190a22d3350babc153c completed March 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69bd77b36c008190b91011a9fa52b3d2 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:44 p.m.