Triple

T10165452
Position Surface form Disambiguated ID Type / Status
Subject Leonardo Boff E235193 entity
Predicate residence P75 FINISHED
Object Rio de Janeiro, Brazil E6266 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: Rio de Janeiro, Brazil | Statement: [Leonardo Boff, residence, Rio de Janeiro, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio de Janeiro, Brazil
Context triple: [Leonardo Boff, residence, Rio de Janeiro, Brazil]
  • A. Rio de Janeiro chosen
    Rio de Janeiro is a major Brazilian coastal city famed for its stunning beaches, dramatic landscape, Carnival festival, and iconic Christ the Redeemer statue.
  • B. Río de Janeiro
    Río de Janeiro is a station on Buenos Aires Underground Line A in Argentina’s capital city.
  • C. Lapa, Rio de Janeiro
    Lapa, Rio de Janeiro is a historic and bohemian neighborhood in central Rio known for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Salvador, Bahia, Brazil
    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.
  • E. Leblon, Rio de Janeiro, Brazil
    Leblon, in Rio de Janeiro, Brazil, is an affluent beachfront neighborhood known for its upscale restaurants, luxury shops, and vibrant nightlife.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6cf27481909f38839452ac0e37 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9333d2e708190b0c8ec679bcb6ade completed April 10, 2026, 5:28 p.m.
Created at: March 30, 2026, 9:10 p.m.