Triple

T21477379
Position Surface form Disambiguated ID Type / Status
Subject Catumbi E529895 entity
Predicate near P350 FINISHED
Object Rio Comprido 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: Rio Comprido | Statement: [Catumbi, near, Rio Comprido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Comprido
Context triple: [Catumbi, near, Rio Comprido]
  • A. Rio Comprido chosen
    Rio Comprido is a residential neighborhood in the North Zone of Rio de Janeiro, Brazil, known for its hilly terrain and proximity to central districts.
  • B. Rio Madeira
    Rio Madeira is one of the largest tributaries of the Amazon River in South America, flowing through Bolivia and Brazil and serving as a major waterway for transport, ecology, and hydroelectric power.
  • C. Rio Soberbo
    Rio Soberbo is a river in the state of Rio de Janeiro, Brazil, known for flowing through the municipality of Guapimirim in the Serra dos Órgãos region.
  • D. Rio Pajeú
    Rio Pajeú is a river in northeastern Brazil that flows through the state of Pernambuco and contributes significantly to the São Francisco River basin.
  • E. Rio Itaúnas
    Rio Itaúnas is a coastal river in southeastern Brazil known for its scenic landscapes, sand dunes, and ecological importance within the state of Espírito Santo.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea187a3c8190b3f33bd760dc1f54 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.