Triple

T6855048
Position Surface form Disambiguated ID Type / Status
Subject Marc Gasol E158115 entity
Predicate founded P104 FINISHED
Object Bàsquet Girona E624476 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: Bàsquet Girona | Statement: [Marc Gasol, founded, Bàsquet Girona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bàsquet Girona
Context triple: [Marc Gasol, founded, Bàsquet Girona]
  • A. Bàsquet Girona chosen
    Bàsquet Girona is a Spanish professional basketball club based in Girona, Catalonia, known for being founded and later played for by NBA All-Star Marc Gasol.
  • B. FC Barcelona Bàsquet
    FC Barcelona Bàsquet is the professional basketball section of FC Barcelona, one of Spain and Europe's most successful and storied basketball clubs.
  • C. Girona FC
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • D. Akasvayu Girona
    Akasvayu Girona was a Spanish professional basketball club based in Girona, Catalonia, that competed in the country’s top leagues during the 2000s.
  • E. Gimnàstic de Manresa
    Gimnàstic de Manresa is a Spanish football club based in Manresa, Catalonia, known for its youth academy that helped develop future stars such as Pep Guardiola.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d86d5a54819088537ada9f8d1105 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7427dda908190953cf8b535249980 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:20 p.m.