Triple

T11368929
Position Surface form Disambiguated ID Type / Status
Subject Estadio BBVA E269288 entity
Predicate sponsor P67 FINISHED
Object BBVA E66584 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: BBVA | Statement: [Estadio BBVA, sponsor, BBVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBVA
Context triple: [Estadio BBVA, sponsor, BBVA]
  • A. BBVA USA
    BBVA USA was a U.S.-based banking institution offering retail and commercial financial services as part of the global BBVA Group.
  • B. 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.
  • C. Banco Bilbao Vizcaya Argentaria chosen
    Banco Bilbao Vizcaya Argentaria (BBVA) is a major multinational Spanish banking group that provides a wide range of financial services across Europe, the Americas, and other global markets.
  • D. Banamex
    Banamex is one of Mexico’s largest and oldest banking institutions, offering a wide range of financial services to retail and corporate customers.
  • 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.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5567b67f88190b0412e30b346d36d completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.