Triple

T21477082
Position Surface form Disambiguated ID Type / Status
Subject Aterro do Flamengo E529889 entity
Predicate hasViewOf P854 FINISHED
Object Rio de Janeiro skyline 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 de Janeiro skyline | Statement: [Aterro do Flamengo, hasViewOf, Rio de Janeiro skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio de Janeiro skyline
Context triple: [Aterro do Flamengo, hasViewOf, Rio de Janeiro skyline]
  • A. Rio de Janeiro waterfront
    The Rio de Janeiro waterfront is the scenic coastal area of the city known for its iconic beaches, bayside views, and proximity to major urban landmarks.
  • B. Rio de Janeiro chosen
    Rio de Janeiro is a major Brazilian coastal city famed for its stunning beaches, dramatic landscape, Carnival festival, and iconic Christ the Redeemer statue.
  • C. Rio de Janeiro Big Four
    The Rio de Janeiro Big Four are the four most prominent and historically successful football clubs from Rio de Janeiro that dominate the state’s football scene.
  • D. Río de Janeiro
    Río de Janeiro is a station on Buenos Aires Underground Line A in Argentina’s capital city.
  • E. Lapa, Rio de Janeiro
    Lapa, Rio de Janeiro is a historic and bohemian neighborhood in central Rio known for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • 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.