Triple

T11887927
Position Surface form Disambiguated ID Type / Status
Subject Magé River E282837 entity
Predicate hasPortugueseName P23359 FINISHED
Object Rio Magé E282837 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 Magé | Statement: [Magé River, hasPortugueseName, Rio Magé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Magé
Context triple: [Magé River, hasPortugueseName, Rio Magé]
  • A. Magé River chosen
    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.
  • B. Massa River
    The Massa River is a river in the Swiss canton of Valais that flows from the Aletsch Glacier through a deep gorge before joining the Rhône.
  • C. Massa River
    The Massa River is a watercourse in southwestern Morocco that flows through the Souss-Massa region and supports important agricultural lands and wetlands before reaching the Atlantic Ocean.
  • D. Rio Vaza-Barris
    Rio Vaza-Barris is a river in northeastern Brazil that flows through the states of Bahia and Sergipe before emptying into the Atlantic Ocean.
  • E. 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.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417e919548190acbc248879f957ec completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.