Triple

T8608025
Position Surface form Disambiguated ID Type / Status
Subject Gorbachev era E203851 entity
Predicate hasPart P35 FINISHED
Object glasnost E224058 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: [Gorbachev era, hasPart, glasnost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: glasnost
Context triple: [Gorbachev era, hasPart, glasnost]
  • A. glasnost chosen
    Glasnost was a policy of increased openness, transparency, and freedom of information in the Soviet Union introduced under Mikhail Gorbachev in the 1980s.
  • B. glasnost policy
    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.
  • C. Glavlit
    Glavlit was the Soviet state censorship agency responsible for controlling and suppressing information in publications, media, and the arts.
  • D. Svoboda
    Svoboda is a common Czech surname borne by numerous notable figures, including politicians, artists, and athletes.
  • E. glo
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ec301881908ce148a3f07069fe completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea909757c819095dd38644c21af33 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.