Triple

T12595704
Position Surface form Disambiguated ID Type / Status
Subject Muysca E300724 entity
Predicate region P40 FINISHED
Object Santander E675908 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: Santander | Statement: [Muysca, region, Santander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santander
Context triple: [Muysca, region, Santander]
  • A. Santander chosen
    Santander is a department in northeastern Colombia known for its mountainous terrain, colonial towns, and significant role in the country’s history and economy.
  • B. Santander
    Santander is a historic port city in northern Spain, known for its maritime heritage, beaches, and role as the capital of the Cantabria region.
  • C. 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.
  • D. Banco Santander
    Banco Santander is a major global Spanish banking group offering retail and commercial financial services across Europe, the Americas, and other international markets.
  • E. Caixa Catalunya
    Caixa Catalunya was a major Spanish savings bank based in Catalonia, later merged into CatalunyaCaixa, that played a significant role in regional finance and social projects.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.