Triple

T4799522
Position Surface form Disambiguated ID Type / Status
Subject Batista dictatorship E106797 entity
Predicate legitimacyStrategy P13064 FINISHED
Object controlled elections 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: controlled elections | Statement: [Batista dictatorship, legitimacyStrategy, controlled elections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legitimacyStrategy
Context triple: [Batista dictatorship, legitimacyStrategy, controlled elections]
  • A. legitimizedBy
    Indicates that something gains legal, formal, or social validity as a result of the authority, action, or endorsement of another entity.
  • B. helpedLegitimize
    Indicates that one entity’s actions or support contributed to making another entity appear more credible, acceptable, or officially recognized.
  • C. authorityLegitimacyBasis
    Indicates the foundational source or justification that makes an authority’s power or right to rule recognized as valid or legitimate.
  • D. usesStrategy chosen
    Indicates that an entity intentionally applies a particular strategy or method to achieve a goal or perform an action.
  • E. doctrineName
    Indicates that one entity is the formal or recognized name of a particular doctrine associated with 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6b40c29c8190adab3503f8ba0145 completed March 20, 2026, 3:44 p.m.
PD Predicate disambiguation batch_69bd622f88188190a51d52ccfad3d2dd completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:23 p.m.