Triple

T18717076
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Foreign Trade of the Soviet Union E457668 entity
Predicate appliedEconomicSystem P252 FINISHED
Object planned 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: planned economy | Statement: [Ministry of Foreign Trade of the Soviet Union, appliedEconomicSystem, planned economy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedEconomicSystem
Context triple: [Ministry of Foreign Trade of the Soviet Union, appliedEconomicSystem, planned economy]
  • A. economicSystem chosen
    Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
  • B. economicFramework
    Indicates the overarching system of principles, rules, and structures that organize and govern economic activities and relationships.
  • C. positionOnEconomicSystem
    Indicates the stance or viewpoint an entity holds regarding a particular economic system or model.
  • D. economicPolicyOutcome
    Indicates the resulting economic conditions, effects, or consequences that arise from implementing a particular economic policy.
  • E. economicMechanism
    Indicates an economic process, structure, or set of rules through which resources, incentives, or transactions are organized and outcomes are generated.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab6e0948190b8c70bdea43d2ee5 completed April 19, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69e478e0889c8190a118d67b200ce8ef completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:50 a.m.