Triple

T8539981
Position Surface form Disambiguated ID Type / Status
Subject Wagner Moura E202170 entity
Predicate hasResidence P75 FINISHED
Object Salvador, Bahia, Brazil E62572 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: Salvador, Bahia, Brazil | Statement: [Wagner Moura, hasResidence, Salvador, Bahia, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salvador, Bahia, Brazil
Context triple: [Wagner Moura, hasResidence, Salvador, Bahia, Brazil]
  • A. Salvador, Bahia, Brazil chosen
    Salvador, the capital of Brazil’s Bahia state, is a major coastal city known for its Afro-Brazilian culture, colonial architecture, and historic role as the country’s first capital.
  • B. Salvador
    Salvador is a metro station on Line 1 of the Santiago Metro in Santiago, Chile.
  • C. Salvador
    "Salvador" is a 1986 political drama film directed by Oliver Stone, in which James Woods delivers an acclaimed performance as a cynical journalist covering the Salvadoran Civil War.
  • D. Salvador
    Salvador is a historic coastal city in northeastern Brazil known for its Afro-Brazilian culture, colonial architecture, and vibrant Carnival celebrations.
  • E. Salvador
    Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6dfb2bc8190a41e32eca3c824c2 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce891a1fac8190bcae4063b24c760a completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:18 p.m.