Triple

T8734972
Position Surface form Disambiguated ID Type / Status
Subject FC Rubin Kazan E207356 entity
Predicate foundedAs P364 FINISHED
Object Rubin Kazan E508466 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: Rubin Kazan | Statement: [FC Rubin Kazan, foundedAs, Rubin Kazan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubin Kazan
Context triple: [FC Rubin Kazan, foundedAs, Rubin Kazan]
  • A. Rubin Kazan chosen
    Rubin Kazan is a Russian professional football club based in Kazan, known for competing in the Russian Premier League and winning multiple domestic titles in the late 2000s.
  • B. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • C. Shura Cherkassky
    Shura Cherkassky was a renowned 20th-century Russian-American pianist celebrated for his virtuosic technique, colorful interpretations, and exceptionally long international concert career.
  • D. Gergiev
    Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
  • E. Ivan Yakubovsky
    Ivan Yakubovsky was a Soviet military commander and Marshal of the Soviet Union who played a leading role in Warsaw Pact operations during the Cold War.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2b89988190bb7671e273026046 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42bd840081908074e9d322a15b68 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:37 p.m.