Triple

T2039119
Position Surface form Disambiguated ID Type / Status
Subject Kuznetsov Naval Academy E44700 entity
Predicate locationFormerCountry P33035 FINISHED
Object Soviet Union E363 NE FINISHED

How this triple was built (3 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 Union | Statement: [Kuznetsov Naval Academy, locationFormerCountry, Soviet Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet Union
Context triple: [Kuznetsov Naval Academy, locationFormerCountry, Soviet Union]
  • A. Soviet Union chosen
    The Soviet Union was a socialist superpower that dominated Eastern Europe and led the communist bloc during the Cold War.
  • B. Russian SFSR
    The Russian SFSR was the largest and most influential republic of the former Soviet Union, encompassing much of its political, economic, and cultural center.
  • C. Soviet Socialist Republics
    The Soviet Socialist Republics were the constituent republic-level units of the Soviet Union, each nominally sovereign but centrally controlled by the communist government in Moscow.
  • D. MO USSR
    MO USSR was the central government body responsible for directing and coordinating the armed forces of the Soviet Union.
  • E. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locationFormerCountry
Context triple: [Kuznetsov Naval Academy, locationFormerCountry, Soviet Union]
  • A. formerGoverningCountry
    Indicates that one country previously held governing or colonial authority over another country or territory.
  • B. formerCountryOfOrigin chosen
    Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
  • C. residenceCountry
    Indicates the country in which an entity lives or has their primary place of residence.
  • D. cityPreviouslyLocatedIn
    Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
  • E. formerResidenceOf
    Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
  • F. None of above.

Provenance (4 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb951870481909dbdd8fc8b0c02fe completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f642cf481908028e4947c98e29c completed March 9, 2026, 7:28 p.m.
PD Predicate disambiguation batch_69abb7a8125881909c0cb58b777c1faa completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.