Triple

T9211390
Position Surface form Disambiguated ID Type / Status
Subject Sergipe River E221126 entity
Predicate flowsThrough P225 FINISHED
Object Riachuelo E252007 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: Riachuelo | Statement: [Sergipe River, flowsThrough, Riachuelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riachuelo
Context triple: [Sergipe River, flowsThrough, Riachuelo]
  • A. Riachuelo River chosen
    The Riachuelo River is a heavily polluted waterway in Buenos Aires, Argentina, historically significant as an industrial hub and now a major focus of environmental cleanup efforts.
  • B. Carioca River
    The Carioca River is a small urban waterway in Rio de Janeiro, Brazil, historically important as a source of fresh water for the city and now known for running through the Tijuca Forest and into Guanabara Bay.
  • C. Obra River
    The Obra River is a significant river in western Poland known for its scenic, meandering course through lakes and wetlands before joining the Warta River.
  • D. Pelotas River
    The Pelotas River is a significant river in southern Brazil that forms part of the Uruguay River system and helps define sections of the border between Brazilian states.
  • E. 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.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b69838819088f33ca995fce222 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09ba1d3488190b2c999204f0d545b completed April 4, 2026, 5:03 a.m.
Created at: March 30, 2026, 7:27 p.m.