Triple

T26277903
Position Surface form Disambiguated ID Type / Status
Subject post-communist Hungary E660624 entity
Predicate economicReform P3805 FINISHED
Object privatization of state-owned enterprises 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: privatization of state-owned enterprises | Statement: [post-communist Hungary, economicReform, privatization of state-owned enterprises]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicReform
Context triple: [post-communist Hungary, economicReform, privatization of state-owned enterprises]
  • A. keyEconomicReformer
    Indicates that an entity plays a leading or pivotal role in initiating, driving, or shaping significant economic reforms.
  • B. economicTransition chosen
    Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
  • C. economicPolicyWing
    Indicates a relationship where an entity functions as the economic policy division or unit within a larger organization or structure.
  • D. economicPolicyOutcome
    Indicates the resulting economic conditions, effects, or consequences that arise from implementing a particular economic policy.
  • E. economicPolicyArea
    Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
  • 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_69ee812960d081909cff6085cc9fa3a6 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 26, 2026, 9:57 p.m.