Triple

T22758067
Position Surface form Disambiguated ID Type / Status
Subject BFC Dynamo E562905 entity
Predicate alsoKnownAs P39 FINISHED
Object Berliner FC Dynamo 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: Berliner FC Dynamo | Statement: [BFC Dynamo, alsoKnownAs, Berliner FC Dynamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berliner FC Dynamo
Context triple: [BFC Dynamo, alsoKnownAs, Berliner FC Dynamo]
  • A. 1. FC Union Berlin
    1. FC Union Berlin is a professional German football club from Berlin known for its passionate fan base and rapid rise to the Bundesliga and European competitions.
  • B. BFC Dynamo chosen
    BFC Dynamo is a German football club from Berlin, historically one of the most successful and controversial teams in East German football.
  • C. Hamburger SV
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • D. FC St. Pauli
    FC St. Pauli is a German football club renowned for its left-wing, anti-fascist fan culture and distinctive alternative identity within European football.
  • E. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7a8ca481909953dcd6fbcc5fcf completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:25 p.m.