Triple

T18897750
Position Surface form Disambiguated ID Type / Status
Subject Pedra da Mina E462252 entity
Predicate locatedIn P40 FINISHED
Object Serra da Mantiqueira NE NERFINISHED

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: Serra da Mantiqueira | Statement: [Pedra da Mina, locatedIn, Serra da Mantiqueira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra da Mantiqueira
Context triple: [Pedra da Mina, locatedIn, Serra da Mantiqueira]
  • A. Serra da Mantiqueira chosen
    Serra da Mantiqueira is a prominent mountain range in southeastern Brazil known for its high peaks, Atlantic Forest remnants, and important water sources that feed major river basins.
  • B. 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.
  • C. Serra Catarinense
    Serra Catarinense is a mountainous region in southern Brazil known for its high-altitude landscapes, cold climate, canyons, and scenic rural tourism.
  • D. 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.
  • E. Serra do Mar system
    The Serra do Mar system is a long coastal mountain range in southeastern Brazil, known for its steep escarpments, Atlantic Forest biodiversity, and proximity to major cities like Rio de Janeiro and São Paulo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52689308190b2e5ca163b1f6cd1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.