Triple

T543688
Position Surface form Disambiguated ID Type / Status
Subject Congress of People's Deputies of the Soviet Union E12685 entity
Predicate createdUnderPolicyOf P10123 FINISHED
Object glasnost E40609 NE 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: glasnost | Statement: [Congress of People's Deputies of the Soviet Union, createdUnderPolicyOf, glasnost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: glasnost
Context triple: [Congress of People's Deputies of the Soviet Union, createdUnderPolicyOf, glasnost]
  • A. glasnost policy chosen
    The glasnost policy was Mikhail Gorbachev’s reform initiative in the late Soviet Union that promoted unprecedented openness, transparency, and freedom of information in government and society.
  • B. glo
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • C. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • D. Privolnoye
    Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
  • E.
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d278cf88190ad1368da91a7014f completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 completed March 1, 2026, 11:31 p.m.
Created at: March 1, 2026, 7:32 p.m.