Triple

T18702739
Position Surface form Disambiguated ID Type / Status
Subject SAN E457291 entity
Predicate issuerHeadquartersCity P10544 FINISHED
Object Santander NE NERFINISHED

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: [SAN, issuerHeadquartersCity, Santander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santander
Context triple: [SAN, issuerHeadquartersCity, Santander]
  • A. Santander
    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 chosen
    Banco Santander is a major global Spanish banking group offering retail and commercial financial services across Europe, the Americas, and other international markets.
  • E. Santander Network
    The Santander Network is an international association of universities that collaborates to promote academic cooperation, research, and educational exchange among its member institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56714d0588190ac050356bc2784fd completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.