Triple

T19281638
Position Surface form Disambiguated ID Type / Status
Subject Government of Oleksiy Honcharuk E482201 entity
Predicate economicPolicyGoal P14665 FINISHED
Object liberalization of the economy 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: liberalization of the economy | Statement: [Government of Oleksiy Honcharuk, economicPolicyGoal, liberalization of the economy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicPolicyGoal
Context triple: [Government of Oleksiy Honcharuk, economicPolicyGoal, liberalization of the economy]
  • A. economicPolicyOrientation
    Indicates the general stance or approach an entity takes toward economic policy, such as its preferred principles, priorities, or strategies in managing the economy.
  • B. economicPolicyType
    Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
  • C. economicPolicyArea
    Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
  • D. economicPolicyOutcome
    Indicates the resulting economic conditions, effects, or consequences that arise from implementing a particular economic policy.
  • E. economicGoal chosen
    Indicates that an entity has a targeted economic outcome or objective 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbff1e6c819094ae6a5ad40adb65 completed April 20, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:30 p.m.