Triple

T29600156
Position Surface form Disambiguated ID Type / Status
Subject Soviet Street E754418 entity
Predicate hasPostSovietTrend P109207 FINISHED
Object renaming to remove Soviet symbolism 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: renaming to remove Soviet symbolism | Statement: [Soviet Street, hasPostSovietTrend, renaming to remove Soviet symbolism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostSovietTrend
Context triple: [Soviet Street, hasPostSovietTrend, renaming to remove Soviet symbolism]
  • 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. sharesSovietLegacyWith
    Indicates that two entities have a common historical, political, or cultural background rooted in the former Soviet Union.
  • C. hasFormerSovietName
    Indicates that an entity previously had a name used during the Soviet era, which has since been changed.
  • D. formerSovietRepublic
    Indicates that an entity is a country or region that was once part of the Soviet Union but is now independent.
  • E. afterTheFallOfCommunism chosen
    Indicates that one event, situation, or condition occurs in the period following the collapse of communist rule in a given 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_69f0ef84e5d08190a0df17f5930ceed3 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fd6a1c1c4881908090053bc359b181 completed May 8, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69fd696f24d8819091033afacbdaadc5 completed May 8, 2026, 4:41 a.m.
Created at: April 28, 2026, 6:21 p.m.