Triple

T5646375
Position Surface form Disambiguated ID Type / Status
Subject Raisa Gorbacheva E124393 entity
Predicate era P200 FINISHED
Object post-Soviet Russia E10011 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: post-Soviet Russia | Statement: [Raisa Gorbacheva, era, post-Soviet Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: post-Soviet Russia
Context triple: [Raisa Gorbacheva, era, post-Soviet Russia]
  • A. Post-Soviet states
    Post-Soviet states are the independent countries that emerged after the dissolution of the Soviet Union in 1991, spanning Eastern Europe, the Caucasus, and Central Asia.
  • B. ROSSIYA
    ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
  • C. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • D. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • E. European Russia
    European Russia is the western, more densely populated and industrialized part of Russia that lies within the European continent and includes major cities such as Moscow and Saint Petersburg.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022aa650c819088d9046b82fab631 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d84e14c8190b913486cb516eee1 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.