Triple

T9079668
Position Surface form Disambiguated ID Type / Status
Subject Zenit Saint Petersburg E217583 entity
Predicate shortName P43 FINISHED
Object Zenit E217583 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: Zenit | Statement: [Zenit Saint Petersburg, shortName, Zenit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zenit
Context triple: [Zenit Saint Petersburg, shortName, Zenit]
  • A. Zenit
    Zenit is a family of Ukrainian-designed medium-lift launch vehicles that were widely used for both government and commercial satellite missions, including Sea Launch operations, before being phased out in favor of newer rockets.
  • B. Zenit Saint Petersburg chosen
    Zenit Saint Petersburg is a leading Russian professional football club based in Saint Petersburg, known for its domestic league titles, European success, and strong rivalry with Moscow teams.
  • C. Dinamo
    Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
  • D. Dinamo
    Dinamo is a Romanian professional football club based in Bucharest, known for its rich history and passionate fan base.
  • E. Dinamo
    Dinamo is a professional football club based in Tirana, Albania, known for its historic success in the Albanian football league.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:12 p.m.