Triple

T8680803
Position Surface form Disambiguated ID Type / Status
Subject Gigante da Colina E206031 entity
Predicate hasNickname P39 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: [Gigante da Colina, hasNickname, Vasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasco
Context triple: [Gigante da Colina, hasNickname, 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. Curaco de Vélez
    Curaco de Vélez is a small coastal town and commune in southern Chile’s Chiloé Archipelago, known for its traditional Chilote culture and wooden architecture.
  • E. 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.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b2be2081908a8744b77c4753f2 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.