Triple

T9651920
Position Surface form Disambiguated ID Type / Status
Subject Pavlovsk E233354 entity
Predicate hasNearbyCity P350 FINISHED
Object Pushkin E66672 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: Pushkin | Statement: [Pavlovsk, hasNearbyCity, Pushkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pushkin
Context triple: [Pavlovsk, hasNearbyCity, Pushkin]
  • A. Pushkin chosen
    Pushkin is a town near Saint Petersburg, Russia, renowned for its imperial palaces and parks, including the famous Catherine Palace at Tsarskoye Selo.
  • B. Alexander Pushkin
    Alexander Pushkin was a pioneering 19th-century Russian poet, playwright, and novelist widely regarded as the founder of modern Russian literature.
  • C. Sergey Lvovich Pushkin
    Sergey Lvovich Pushkin was a Russian nobleman and landowner best known as the father of the great poet Alexander Pushkin.
  • D. Zhukovsky
    Zhukovsky is a town near Moscow, Russia, known as a major center of aviation research and industry.
  • E. Apollon Maykov
    Apollon Maykov was a 19th-century Russian poet known for his classical style, historical and folkloric themes, and connections to the radical intellectual circles of his time.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb0cce88190b7eacc8b43450d7f completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826c91388190b82112c2ca1eae7e completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.