Triple

T6878490
Position Surface form Disambiguated ID Type / Status
Subject Josef Martínez E158731 entity
Predicate memberOfSportsTeam 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: [Josef Martínez, memberOfSportsTeam, BSC Young Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSC Young Boys
Context triple: [Josef Martínez, memberOfSportsTeam, 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 Basel
    FC Basel is a prominent Swiss football club based in Basel, known for its domestic success and regular participation in European competitions.
  • C. Yverdon-Sport FC
    Yverdon-Sport FC is a Swiss professional football club based in Yverdon-les-Bains that competes in the country’s league system.
  • D. FC Zürich
    FC Zürich is a Swiss professional football club based in Zurich, known for its multiple national championships and participation in European competitions.
  • E. FC Sion
    FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e498bc81908b2fbe0c6a8b95b7 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742c2b81881909bd13df0d6028cc6 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.