Triple

T4335941
Position Surface form Disambiguated ID Type / Status
Subject FC Dynamo Bryansk E97462 entity
Predicate shortName P43 FINISHED
Object Dynamo Bryansk E97462 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: Dynamo Bryansk | Statement: [FC Dynamo Bryansk, shortName, Dynamo Bryansk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamo Bryansk
Context triple: [FC Dynamo Bryansk, shortName, Dynamo Bryansk]
  • A. Dynamo Minsk
    Dynamo Minsk is a professional sports club from Minsk, Belarus, best known for its football team competing in the country’s top league and European competitions.
  • B. Dynamo Moscow
    Dynamo Moscow is a prominent Russian professional ice hockey club based in Moscow, historically known for developing elite players such as Alex Ovechkin.
  • C. BC Dynamo Moscow
    BC Dynamo Moscow is a professional basketball club from Moscow, Russia, historically associated with the Dynamo sports society and known for competing in national and European competitions.
  • D. FC Dynamo Bryansk chosen
    FC Dynamo Bryansk is a Russian professional football club based in Bryansk that has primarily competed in the lower tiers of the national league system.
  • E. Dinamo
    Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516af43081908393fd0dad3d9382 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a9967481908828ceeb76ce4cbf completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:14 p.m.