Triple

T23012021
Position Surface form Disambiguated ID Type / Status
Subject Morro da Favela E572929 entity
Predicate titleTranslation P38 FINISHED
Object Favela Hill 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: Favela Hill | Statement: [Morro da Favela, titleTranslation, Favela Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Favela Hill
Context triple: [Morro da Favela, titleTranslation, Favela Hill]
  • A. Morro da Favela chosen
    Morro da Favela is a landmark modernist painting by Brazilian artist Tarsila do Amaral that vividly depicts a Rio de Janeiro hillside favela through bold colors and stylized forms.
  • B. Vidigal favela
    Vidigal favela is a hillside community in Rio de Janeiro known for its striking views over the city and beaches, vibrant local culture, and growing popularity with visitors and artists.
  • C. Favela
    Favela is a fast-paced, multi-level multiplayer map in Call of Duty: Modern Warfare 2 set in a densely built Brazilian shantytown.
  • D. Rocinha
    Rocinha is the largest favela in Brazil, a densely populated hillside community in Rio de Janeiro known for its vibrant culture and stark social contrasts.
  • E. Morro Brás
    Morro Brás is a small settlement located within the municipality of Ribeira Brava in Cape Verde.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e202a481908d7a2f00a12229a0 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.