Triple

T287737
Position Surface form Disambiguated ID Type / Status
Subject State Bank of the USSR E5920 entity
Predicate roleInEconomy P2223 FINISHED
Object implementation of centralized financial control 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: implementation of centralized financial control | Statement: [State Bank of the USSR, roleInEconomy, implementation of centralized financial control]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInEconomy
Context triple: [State Bank of the USSR, roleInEconomy, implementation of centralized financial control]
  • A. hasEconomicRole chosen
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • B. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • C. subjectOccupation
    Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
  • D. sponsorOccupation
    Indicates that one entity serves as the occupation or professional role of a sponsor associated with another entity.
  • E. roleInEcosystem
    Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2ddaa88190b08c40b5823f30a0 completed Feb. 28, 2026, 3:17 a.m.
PD Predicate disambiguation batch_69a25b7c1448819082064f474633acd5 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.