Triple

T15933997
Position Surface form Disambiguated ID Type / Status
Subject Serra do Marão E386392 entity
Predicate highestPoint P210 FINISHED
Object Marão (peak) E386392 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: Marão (peak) | Statement: [Serra do Marão, highestPoint, Marão (peak)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marão (peak)
Context triple: [Serra do Marão, highestPoint, Marão (peak)]
  • A. Serra do Marão chosen
    Serra do Marão is a prominent mountain range in northern Portugal known for its rugged landscapes and panoramic views over the Douro and Minho regions.
  • 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 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. Monte Belo do Sul
    Monte Belo do Sul is a small wine-producing town in Brazil’s Serra Gaúcha region, known for its Italian heritage and scenic vineyard landscapes.
  • 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.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a7bdd88190b1d7349ef920fd06 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe727c348190907c9e7a5db6031d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.