Triple

T2052411
Position Surface form Disambiguated ID Type / Status
Subject Minister of Education of Cuba E45597 entity
Predicate policyGoals P6636 FINISHED
Object universal access to education in 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: universal access to education in Cuba | Statement: [Minister of Education of Cuba, policyGoals, universal access to education in Cuba]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyGoals
Context triple: [Minister of Education of Cuba, policyGoals, universal access to education in Cuba]
  • A. politicalGoal
    Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
  • B. nationalGoals
    Indicates a relationship where certain objectives or targets are officially set or recognized as the goals of a nation.
  • C. policyFocus
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • D. ideologicalGoal
    Indicates that an entity aims to promote, realize, or advance a particular ideology or set of ideological principles.
  • E. goals chosen
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99078d88190bc30fa4596f0bae8 completed March 7, 2026, 5:37 a.m.
PD Predicate disambiguation batch_69abb7abba508190b872f345d3ba51bb completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.