Triple

T15328401
Position Surface form Disambiguated ID Type / Status
Subject Xavier Barcons E366470 entity
Predicate workLocation P7 FINISHED
Object Santander E255638 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: [Xavier Barcons, workLocation, Santander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santander
Context triple: [Xavier Barcons, workLocation, Santander]
  • A. Santander chosen
    Santander is a historic port city in northern Spain, known for its maritime heritage, beaches, and role as the capital of the Cantabria region.
  • B. 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.
  • 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. 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 (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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8af92a88190bd47f1a484f25eb1 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.