Triple

T18639149
Position Surface form Disambiguated ID Type / Status
Subject Pico da Bandeira E455635 entity
Predicate partOf P40 FINISHED
Object Serra do Caparaó 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 Caparaó | Statement: [Pico da Bandeira, partOf, Serra do Caparaó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra do Caparaó
Context triple: [Pico da Bandeira, partOf, Serra do Caparaó]
  • A. Serra do Espinhaço
    Serra do Espinhaço is a major mountain range in eastern Brazil known for its extensive plateaus, unique biodiversity, and rich mineral resources.
  • 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. Monte Brasil
    Monte Brasil is a prominent volcanic peninsula and natural reserve on Terceira Island in the Azores, known for its scenic trails, historical fortifications, and panoramic views over Angra do Heroísmo.
  • E. 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.
  • 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 Caparaó
Target entity description: Serra do Caparaó is a mountainous region on the border of Minas Gerais and Espírito Santo in southeastern Brazil, known for its high peaks, Atlantic Forest landscapes, and inclusion in Caparaó National Park.
  • A. Serra do Espinhaço
    Serra do Espinhaço is a major mountain range in eastern Brazil known for its extensive plateaus, unique biodiversity, and rich mineral resources.
  • 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. Monte Brasil
    Monte Brasil is a prominent volcanic peninsula and natural reserve on Terceira Island in the Azores, known for its scenic trails, historical fortifications, and panoramic views over Angra do Heroísmo.
  • E. 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.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fcac2d48190a15ce8cc8e175198 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.