Triple

T5189762
Position Surface form Disambiguated ID Type / Status
Subject Kukarka E117121 entity
Predicate hasHistoricalNameRole P47064 FINISHED
Object birthplace of a Soviet statesman 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: birthplace of a Soviet statesman | Statement: [Kukarka, hasHistoricalNameRole, birthplace of a Soviet statesman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalNameRole
Context triple: [Kukarka, hasHistoricalNameRole, birthplace of a Soviet statesman]
  • A. historicalNameType chosen
    Indicates that the relationship specifies the type or category of a historical name associated with an entity.
  • B. hasHistoricalRoleAs
    Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
  • C. regionHistoricalName
    Indicates that a region has been known by a particular historical name during some past period.
  • D. hasHistoricalEntity
    Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
  • E. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b7e8b4819092ec3965e11f2dea completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:46 p.m.