Triple

T20687799
Position Surface form Disambiguated ID Type / Status
Subject Rubin Kazan E508466 entity
Predicate fullName P16 FINISHED
Object Football Club Rubin Kazan NE NERFINISHED

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: Football Club Rubin Kazan | Statement: [Rubin Kazan, fullName, Football Club Rubin Kazan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Football Club Rubin Kazan
Context triple: [Rubin Kazan, fullName, Football Club Rubin Kazan]
  • A. FC Rubin Kazan chosen
    FC Rubin Kazan is a professional Russian football club based in Kazan that has competed in the Russian Premier League and won multiple national titles.
  • B. Football Club Zenit
    Football Club Zenit is a leading Russian professional football club based in Saint Petersburg, known for its domestic league titles and success in European competitions.
  • C. FC Akhmat Grozny
    FC Akhmat Grozny is a professional football club from Grozny, Russia, that competes in the Russian Premier League.
  • D. FC Krylia Sovetov Moscow
    FC Krylia Sovetov Moscow was a Soviet-era football club based in Moscow that competed in the USSR football league system.
  • E. FC Rostov
    FC Rostov is a professional football club from Rostov-on-Don, Russia, known for competing in the Russian Premier League and occasionally challenging the country’s traditional top teams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.