Triple

T735411
Position Surface form Disambiguated ID Type / Status
Subject United States–Cuba relations E14919 entity
Predicate sanctionsType P18137 FINISHED
Object economic sanctions 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 sanctions | Statement: [United States–Cuba relations, sanctionsType, economic sanctions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sanctionsType
Context triple: [United States–Cuba relations, sanctionsType, economic sanctions]
  • A. typeOfSanction chosen
    Indicates the specific category or kind of sanction that is applied in a given situation.
  • B. conditionsLiftingOfSanctionsOn
    Indicates that one entity specifies or determines the requirements under which sanctions imposed on another entity will be removed or relaxed.
  • C. capitalControlsImposed
    Indicates that restrictions or regulations have been put in place to limit or manage the flow of capital or financial transactions across borders.
  • D. isLinkedEconomicallyTo
    Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
  • E. capitalControlsContext
    Indicates the regulatory or policy environment governing restrictions and management of capital flows or financial transactions in a given context.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66820548190b373deb117187c2c completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4fafee081909bf356854c09aaff completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.