Triple

T13475718
Position Surface form Disambiguated ID Type / Status
Subject state budget of Morocco E318243 entity
Predicate policyObjectives P88042 FINISHED
Object economic growth 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: economic growth | Statement: [state budget of Morocco, policyObjectives, economic growth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyObjectives
Context triple: [state budget of Morocco, policyObjectives, economic growth]
  • A. policyAim chosen
    Indicates that a policy is intended to achieve, promote, or be directed toward a particular goal or objective.
  • B. nationalGoals
    Indicates a relationship where certain objectives or targets are officially set or recognized as the goals of a nation.
  • C. politicalGoal
    Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
  • D. 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.
  • E. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:42 p.m.