Triple

T412431
Position Surface form Disambiguated ID Type / Status
Subject USSR–Cuba military alliance E9517 entity
Predicate benefitToUSSR P434 FINISHED
Object strategic leverage over the United States 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: strategic leverage over the United States | Statement: [USSR–Cuba military alliance, benefitToUSSR, strategic leverage over the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitToUSSR
Context triple: [USSR–Cuba military alliance, benefitToUSSR, strategic leverage over the United States]
  • A. SovietAction
    Indicates actions, policies, or interventions carried out by the Soviet Union or its authorities toward another entity.
  • B. SovietOperation
    Indicates that an operation, mission, or organized activity is conducted by, on behalf of, or under the authority of the Soviet Union or its institutions.
  • C. benefitedCountry chosen
    Indicates that one country gains an advantage, profit, or positive outcome from an action, event, or entity associated with another.
  • D. SovietEquipmentLosses
    Indicates the extent or instances of military equipment lost by Soviet forces in a given conflict or period.
  • E. receivesMilitaryAidFrom
    Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdafa2481908111accc918ff2e8 completed Feb. 28, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a2e9749234819084b0ce94faabd0b1 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.