Triple

T38150924
Position Surface form Disambiguated ID Type / Status
Subject Visaginas E952748 entity
Predicate hasPostSovietChange P109207 FINISHED
Object economic restructuring after Ignalina closure 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: economic restructuring after Ignalina closure | Statement: [Visaginas, hasPostSovietChange, economic restructuring after Ignalina closure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostSovietChange
Context triple: [Visaginas, hasPostSovietChange, economic restructuring after Ignalina closure]
  • A. postSovietStatus
    Indicates that an entity has a political, social, or historical status related to the period or conditions following the dissolution of the Soviet Union.
  • B. hasFormerSovietName
    Indicates that an entity previously had a name used during the Soviet era, which has since been changed.
  • C. roleInUSSRDisintegration
    Indicates involvement or contribution of an entity to the political, economic, or social processes that led to the disintegration of the USSR.
  • D. afterTheFallOfCommunism chosen
    Indicates that one event, situation, or condition occurs in the period following the collapse of communist rule in a given context.
  • E. sharesSovietLegacyWith
    Indicates that two entities have a common historical, political, or cultural background rooted in the former Soviet Union.
  • 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_69f76f0a67f4819080c492f61d688fcc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a0008225cc081909ff1fd0639859dc4 completed May 10, 2026, 4:22 a.m.
PD Predicate disambiguation batch_6a0007bac5d8819098aff8031d4abe5d completed May 10, 2026, 4:21 a.m.
Created at: May 3, 2026, 4:21 p.m.