Triple

T9012092
Position Surface form Disambiguated ID Type / Status
Subject Maracanã sports complex E215498 entity
Predicate adjacentTo P224 FINISHED
Object Maracanã River E209274 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: Maracanã River | Statement: [Maracanã sports complex, adjacentTo, Maracanã River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maracanã River
Context triple: [Maracanã sports complex, adjacentTo, Maracanã River]
  • A. Maracanã River chosen
    The Maracanã River is a waterway in Rio de Janeiro, Brazil, that runs through the city near the famous Maracanã Stadium.
  • 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. Rio de Moinhos
    Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
  • D. Riachuelo River
    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.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f846f88190af65dfcf8bdd936a completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba11a6481909cac624530a77ffe completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.