Triple

T9909449
Position Surface form Disambiguated ID Type / Status
Subject Blanquivermells E185101 entity
Predicate appliesTo P1129 FINISHED
Object Girona FC first team E35065 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: Girona FC first team | Statement: [Blanquivermells, appliesTo, Girona FC first team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girona FC first team
Context triple: [Blanquivermells, appliesTo, Girona FC first team]
  • A. Girona FC chosen
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • B. Call de Girona
    Call de Girona is the historic Jewish quarter of Girona, Spain, known for its well-preserved medieval streets and significant Jewish heritage.
  • C. 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.
  • D. Bàsquet Girona
    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.
  • E. Figueres CF
    Figueres CF is a Spanish football club based in Figueres, Catalonia, that has competed primarily in the lower divisions of Spanish football.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20db5979081909b8e292ac6bb7c2f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.