Triple

T19003465
Position Surface form Disambiguated ID Type / Status
Subject Serra do Espinhaço E465014 entity
Predicate hasPart P35 FINISHED
Object Serra do Itacolomi NE NERFINISHED

How this triple was built (3 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: Serra do Itacolomi | Statement: [Serra do Espinhaço, hasPart, Serra do Itacolomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra do Itacolomi
Context triple: [Serra do Espinhaço, hasPart, Serra do Itacolomi]
  • A. Serra da Bocaina
    Serra da Bocaina is a mountainous region in southeastern Brazil known for its Atlantic Forest landscapes, waterfalls, and protected national park spanning the states of São Paulo and Rio de Janeiro.
  • B. Serra da Barriga
    Serra da Barriga is a historic hill in Alagoas, Brazil, renowned as the main site of the Quilombo dos Palmares, one of the most important communities of escaped enslaved Africans in Brazilian history.
  • C. Serra da Cantareira
    Serra da Cantareira is a vast mountainous forest reserve in the São Paulo metropolitan region of Brazil, known for its rich biodiversity and role as a major urban green belt.
  • D. Serra do Cabral
    Serra do Cabral is a mountain range in the Brazilian state of Minas Gerais, known for its plateaus, waterfalls, and rich biodiversity within the larger Espinhaço mountain system.
  • E. Serra do Rio do Rastro
    Serra do Rio do Rastro is a dramatic mountain range in southern Brazil famed for its steep, winding highway, panoramic viewpoints, and lush Atlantic Forest landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Serra do Itacolomi
Target entity description: Serra do Itacolomi is a notable mountain range in Minas Gerais, Brazil, recognized for its distinctive rocky peaks and ecological significance within the Espinhaço range.
  • A. Serra da Bocaina
    Serra da Bocaina is a mountainous region in southeastern Brazil known for its Atlantic Forest landscapes, waterfalls, and protected national park spanning the states of São Paulo and Rio de Janeiro.
  • B. Serra da Barriga
    Serra da Barriga is a historic hill in Alagoas, Brazil, renowned as the main site of the Quilombo dos Palmares, one of the most important communities of escaped enslaved Africans in Brazilian history.
  • C. Serra da Cantareira
    Serra da Cantareira is a vast mountainous forest reserve in the São Paulo metropolitan region of Brazil, known for its rich biodiversity and role as a major urban green belt.
  • D. Serra do Cabral
    Serra do Cabral is a mountain range in the Brazilian state of Minas Gerais, known for its plateaus, waterfalls, and rich biodiversity within the larger Espinhaço mountain system.
  • E. Serra do Rio do Rastro
    Serra do Rio do Rastro is a dramatic mountain range in southern Brazil famed for its steep, winding highway, panoramic viewpoints, and lush Atlantic Forest landscapes.
  • F. None of above. chosen

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a252588190a40398b1879fb096 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.