Triple

T3748681
Position Surface form Disambiguated ID Type / Status
Subject Bern E81271 entity
Predicate hasSportsTeam P330 FINISHED
Object BSC Young Boys E99406 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: BSC Young Boys | Statement: [Bern, hasSportsTeam, BSC Young Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSC Young Boys
Context triple: [Bern, hasSportsTeam, BSC Young Boys]
  • A. BSC Young Boys chosen
    BSC Young Boys is a professional Swiss football club based in Bern, known for competing in the Swiss Super League and regularly participating in European competitions.
  • B. FC Zürich
    FC Zürich is a Swiss professional football club based in Zurich, known for its multiple national championships and participation in European competitions.
  • C. FC St. Gallen
    FC St. Gallen is a Swiss professional football club based in St. Gallen and one of the oldest football clubs in continental Europe.
  • D. Lausanne HC
    Lausanne HC is a professional Swiss ice hockey club based in Lausanne that competes in the country’s top-tier National League.
  • E. FC Stade Nyonnais
    FC Stade Nyonnais is a Swiss football club based in the town of Nyon that competes in the national league system.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6bf95c81909796fbc84995ae05 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2f5e9881908c10feafbb569f48 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.