Triple

T19705086
Position Surface form Disambiguated ID Type / Status
Subject G-14 E473192 entity
Predicate hasMember P10 FINISHED
Object FC Bayern Munich 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: FC Bayern Munich | Statement: [G-14, hasMember, FC Bayern Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Bayern Munich
Context triple: [G-14, hasMember, FC 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. Hertha BSC
    Hertha BSC is a professional football club from Berlin, Germany, that competes in the German league system and is one of the country’s oldest and most historic teams.
  • C. Bayer 04 Leverkusen
    Bayer 04 Leverkusen is a professional German football club based in Leverkusen that competes in the Bundesliga and is known for its strong performances in domestic and European competitions.
  • D. Bayer Giants Leverkusen
    Bayer Giants Leverkusen is a historically dominant German professional basketball club based in Leverkusen, renowned for its record number of national championships.
  • E. 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.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b998608190a82f23bbf77f7bd2 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.