Triple

T2002607
Position Surface form Disambiguated ID Type / Status
Subject Minsk E43503 entity
Predicate hasSportsTeam P330 FINISHED
Object FC Dinamo Minsk E152660 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: FC Dinamo Minsk | Statement: [Minsk, hasSportsTeam, FC Dinamo Minsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Dinamo Minsk
Context triple: [Minsk, hasSportsTeam, FC Dinamo Minsk]
  • A. Dynamo Minsk chosen
    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. FC Dynamo Moscow
    FC Dynamo Moscow is one of Russia’s oldest and most storied football clubs, based in Moscow and historically known for its strong domestic and European performances.
  • C. FC Dynamo Bryansk
    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.
  • D. 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.
  • E. FC Dynamo Brest
    FC Dynamo Brest is a professional football club from Brest, Belarus, that competes in the Belarusian football league system and has won multiple domestic trophies.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8820cec8190a945e5daeb8c9df6 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe068ac8190b0999e4f881d134a completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.