Triple

T14495814
Position Surface form Disambiguated ID Type / Status
Subject Pushkinskaya station E359494 entity
Predicate namedAfter P63 FINISHED
Object Alexander Pushkin E22091 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: Alexander Pushkin | Statement: [Pushkinskaya station, namedAfter, Alexander Pushkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Pushkin
Context triple: [Pushkinskaya station, namedAfter, Alexander Pushkin]
  • A. Alexander Pushkin chosen
    Alexander Pushkin was a pioneering 19th-century Russian poet, playwright, and novelist widely regarded as the founder of modern Russian literature.
  • B. Sergey Lvovich Pushkin
    Sergey Lvovich Pushkin was a Russian nobleman and landowner best known as the father of the great poet Alexander Pushkin.
  • C. Leonid Pushkin
    Leonid Pushkin is a fictional Soviet general and antagonist in the James Bond film "The Living Daylights."
  • D. Pushkin
    Pushkin is a town near Saint Petersburg, Russia, renowned for its imperial palaces and parks, including the famous Catherine Palace at Tsarskoye Selo.
  • E. Mikhail Lermontov
    Mikhail Lermontov was a 19th-century Russian Romantic poet, novelist, and playwright, often regarded as Pushkin’s literary heir and one of Russia’s greatest writers.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9731588190b27a826582e5fc6d completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.