Triple

T8594895
Position Surface form Disambiguated ID Type / Status
Subject Beberibe River E203518 entity
Predicate nameInPortuguese P23359 FINISHED
Object Rio Beberibe E203518 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: Rio Beberibe | Statement: [Beberibe River, nameInPortuguese, Rio Beberibe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Beberibe
Context triple: [Beberibe River, nameInPortuguese, Rio Beberibe]
  • A. Canindé River
    The Canindé River is a significant watercourse in northeastern Brazil that flows through the state of Piauí, contributing to its regional hydrology and ecosystems.
  • B. Beberibe River chosen
    The Beberibe River is a waterway in northeastern Brazil that flows through the city of Recife, contributing to its estuarine landscape and urban geography.
  • C. Magé River
    The Magé River is a watercourse in the state of Rio de Janeiro, Brazil, that flows through the municipality of Magé before emptying into Guanabara Bay.
  • D. Tamanduateí River
    The Tamanduateí River is an important urban river in the São Paulo metropolitan region of Brazil, flowing through the city and joining the Tietê River.
  • E. Sarapiquí River
    The Sarapiquí River is a significant waterway in northern Costa Rica known for its rich biodiversity, agricultural importance, and popularity for ecotourism and white-water rafting.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c76fd48190ae67b660c5b8e29f completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91d31d48190bfd8a8254f6f518e completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:23 p.m.