Triple

T1848354
Position Surface form Disambiguated ID Type / Status
Subject 1. FC Nürnberg E41334 entity
Predicate hasRival P1375 FINISHED
Object Bayern Munich E35074 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: Bayern Munich | Statement: [1. FC Nürnberg, hasRival, Bayern Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayern Munich
Context triple: [1. FC Nürnberg, hasRival, Bayern Munich]
  • A. FC Bayern Munich chosen
    FC Bayern Munich is a German professional football club based in Munich, renowned as one of Europe’s most successful and decorated teams.
  • B. Borussia Dortmund
    Borussia Dortmund is a major German football club based in Dortmund, renowned for its passionate fanbase, iconic Yellow Wall, and success in the Bundesliga and European competitions.
  • C. 1. FC Nürnberg
    1. FC Nürnberg is a historic German football club based in Nuremberg, known for its multiple national championships and strong traditional fan base.
  • D. Eintracht Frankfurt
    Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
  • E. Werder Bremen
    Werder Bremen is a German professional football club based in Bremen, known for its long Bundesliga history and multiple national and international titles.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeadb82048190a89aa8df26fa55f1 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:33 p.m.