Triple

T11487776
Position Surface form Disambiguated ID Type / Status
Subject FC Barcelona Bàsquet E272324 entity
Predicate homeArena P373 FINISHED
Object Palau Blaugrana E883860 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: Palau Blaugrana | Statement: [FC Barcelona Bàsquet, homeArena, Palau Blaugrana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palau Blaugrana
Context triple: [FC Barcelona Bàsquet, homeArena, Palau Blaugrana]
  • A. Palau Blaugrana chosen
    Palau Blaugrana is an indoor sports arena in Barcelona best known as the home venue for FC Barcelona’s basketball and other indoor sports teams.
  • B. Girona FC
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • C. Lleida Esportiu
    Lleida Esportiu is a Spanish football club based in the city of Lleida, Catalonia, competing in the lower divisions of the national league system.
  • D. Balaguer CF
    Balaguer CF is a Spanish football club that has featured players such as former professional footballer and manager Roberto Martínez.
  • E. RCD Espanyol
    RCD Espanyol is a professional football club from Barcelona, Spain, known for competing in La Liga and being one of the city’s historic rivals to FC Barcelona.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.