Triple

T6206881
Position Surface form Disambiguated ID Type / Status
Subject Vasco Núñez de Balboa E138770 entity
Predicate givenName P17 FINISHED
Object Vasco E41234 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: Vasco | Statement: [Vasco Núñez de Balboa, givenName, Vasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasco
Context triple: [Vasco Núñez de Balboa, givenName, Vasco]
  • A. Santos
    Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
  • B. Santos
    Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
  • C. Portuguesa Santista
    Portuguesa Santista is a Brazilian football club based in Santos, São Paulo, known for its youth development and regional tradition.
  • D. CR Vasco da Gama chosen
    CR Vasco da Gama is a traditional and historically successful Brazilian football club based in Rio de Janeiro, known for its passionate fanbase and significant role in the country’s sporting culture.
  • E. Teixeira
    Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06270b8d08190a81bc03c8175b989 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f4ce8888190b5cc4f1b091e88f3 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.