Triple

T20007860
Position Surface form Disambiguated ID Type / Status
Subject Banco de San Carlos E494504 entity
Predicate followedBy P78 FINISHED
Object Banco de San Fernando NE NERFINISHED

How this triple was built (3 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: Banco de San Fernando | Statement: [Banco de San Carlos, followedBy, Banco de San Fernando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banco de San Fernando
Context triple: [Banco de San Carlos, followedBy, Banco de San Fernando]
  • A. Banco de San Carlos
    Banco de San Carlos was an 18th-century Spanish state-sponsored bank that served as a precursor to the modern central banking system in Spain.
  • B. Banco de Guayaquil
    Banco de Guayaquil is one of Ecuador’s largest private banks, known for its extensive nationwide presence and role in the country’s financial sector.
  • C. Bank of Spain
    The Bank of Spain is Spain’s central bank, responsible for national monetary policy and financial supervision, and is famously depicted as the main heist target in the TV series "Money Heist."
  • D. Banco Safra
    Banco Safra is a major Brazilian financial institution offering a wide range of banking and investment services, and is part of the international Safra banking family’s business empire.
  • E. Banesto
    Banesto was a prominent Spanish professional cycling team, sponsored by the Banco Español de Crédito, best known for supporting Miguel Indurain during his multiple Tour de France victories in the early 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banco de San Fernando
Target entity description: Banco de San Fernando was a 19th-century Spanish state-backed bank that succeeded earlier royal banking institutions and played a key role in managing Spain’s public debt and financial system.
  • A. Banco de San Carlos
    Banco de San Carlos was an 18th-century Spanish state-sponsored bank that served as a precursor to the modern central banking system in Spain.
  • B. Banco de Guayaquil
    Banco de Guayaquil is one of Ecuador’s largest private banks, known for its extensive nationwide presence and role in the country’s financial sector.
  • C. Bank of Spain
    The Bank of Spain is Spain’s central bank, responsible for national monetary policy and financial supervision, and is famously depicted as the main heist target in the TV series "Money Heist."
  • D. Banco Safra
    Banco Safra is a major Brazilian financial institution offering a wide range of banking and investment services, and is part of the international Safra banking family’s business empire.
  • E. Banesto
    Banesto was a prominent Spanish professional cycling team, sponsored by the Banco Español de Crédito, best known for supporting Miguel Indurain during his multiple Tour de France victories in the early 1990s.
  • F. None of above. chosen

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a7500481908b69f74e479f88c8 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.