Triple

T679866
Position Surface form Disambiguated ID Type / Status
Subject Council of State of Cuba E13157 entity
Predicate exercisesFunctionsOf P16263 FINISHED
Object head of state of Cuba 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: head of state of Cuba | Statement: [Council of State of Cuba, exercisesFunctionsOf, head of state of Cuba]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exercisesFunctionsOf
Context triple: [Council of State of Cuba, exercisesFunctionsOf, head of state of Cuba]
  • A. exercisesFunction chosen
    Indicates that one entity performs or carries out the function, role, or capability associated with another entity.
  • B. exercisesPowerInNameOf
    Indicates that one entity wields authority or influence on behalf of, and under the authorization or representation of, another entity.
  • C. freeExerciseTest
    Indicates a legal assessment of whether a law or government action improperly burdens or restricts an individual’s or group’s free exercise of religion.
  • D. secondaryFunction
    Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
  • E. section9Function
    Indicates that something serves the role, purpose, or function defined under Section 9 of a specified document, law, or agreement.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04f4efc819082767a7517fa760a completed March 1, 2026, 8:23 p.m.
PD Predicate disambiguation batch_69a49d1d79608190a849ba9ffad2879d completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.