Triple

T23129290
Position Surface form Disambiguated ID Type / Status
Subject Bertioga Canal E577122 entity
Predicate near P350 FINISHED
Object Serra do Mar 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 do Mar | Statement: [Bertioga Canal, near, Serra do Mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra do Mar
Context triple: [Bertioga Canal, near, Serra do Mar]
  • A. Serra da Mantiqueira
    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 Mar system chosen
    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.
  • 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 Geral
    Serra Geral is a mountainous plateau region in southern Brazil known for its extensive basalt formations, canyons, and role as a watershed for several important rivers.
  • E. 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.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8671f48190887e57d5723e49c1 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.