Triple

T19003466
Position Surface form Disambiguated ID Type / Status
Subject Serra do Espinhaço E465014 entity
Predicate hasPart P35 FINISHED
Object Serra do Grão Mogol 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 Grão Mogol | Statement: [Serra do Espinhaço, hasPart, Serra do Grão Mogol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra do Grão Mogol
Context triple: [Serra do Espinhaço, hasPart, Serra do Grão Mogol]
  • A. 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.
  • B. 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.
  • C. Serra da Gardunha
    Serra da Gardunha is a mountain range in central Portugal known for its natural landscapes, chestnut groves, and hiking trails near the town of Fundão.
  • D. Serra do Itacolomi
    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.
  • E. Serra do Ouro Branco
    Serra do Ouro Branco is a mountainous region in Minas Gerais, Brazil, known for its striking quartzite cliffs, Atlantic Forest remnants, and historical significance along the old gold routes.
  • 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 Grão Mogol
Target entity description: Serra do Grão Mogol is a mountainous region in the state of Minas Gerais, Brazil, known for its rugged landscapes, quartzite formations, and rich biodiversity within the Espinhaço mountain range.
  • A. 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.
  • B. 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.
  • C. Serra da Gardunha
    Serra da Gardunha is a mountain range in central Portugal known for its natural landscapes, chestnut groves, and hiking trails near the town of Fundão.
  • D. Serra do Itacolomi
    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.
  • E. Serra do Ouro Branco
    Serra do Ouro Branco is a mountainous region in Minas Gerais, Brazil, known for its striking quartzite cliffs, Atlantic Forest remnants, and historical significance along the old gold routes.
  • 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.