Triple

T2357032
Position Surface form Disambiguated ID Type / Status
Subject Eastern Bloc E47579 entity
Predicate securityServiceModel P35862 FINISHED
Object Soviet-style secret police 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: Soviet-style secret police | Statement: [Eastern Bloc, securityServiceModel, Soviet-style secret police]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityServiceModel
Context triple: [Eastern Bloc, securityServiceModel, Soviet-style secret police]
  • A. securityService
    Indicates a relationship where an entity provides or is responsible for protective, safeguarding, or defense-related services for another entity or system.
  • B. securityModelIdentifier chosen
    Indicates the specific security model or framework under which an entity, interaction, or policy is defined or governed.
  • C. securityType
    Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
  • D. securityModelAbbreviation
    Indicates that one entity is the standard or commonly used abbreviated form of the name or identifier of a particular security model.
  • E. securityModelSimilarTo
    Indicates that one entity’s security model is similar or comparable to that of 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.