Triple

T10060965
Position Surface form Disambiguated ID Type / Status
Subject FC Dynamo Brest E212985 entity
Predicate alsoKnownAs P39 FINISHED
Object Dinamo Brest E212985 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: Dinamo Brest | Statement: [FC Dynamo Brest, alsoKnownAs, Dinamo Brest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinamo Brest
Context triple: [FC Dynamo Brest, alsoKnownAs, Dinamo Brest]
  • A. Dinamo Riga
    Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
  • B. FC Dynamo Brest chosen
    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.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b624191c819093b8392b5573fa96 completed April 5, 2026, 7:21 p.m.
Created at: March 30, 2026, 8:57 p.m.