Triple

T10102915
Position Surface form Disambiguated ID Type / Status
Subject Engenhão E216245 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Engenho de Dentro E826837 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: Engenho de Dentro | Statement: [Engenhão, locatedInNeighborhood, Engenho de Dentro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engenho de Dentro
Context triple: [Engenhão, locatedInNeighborhood, Engenho de Dentro]
  • A. Engenho de Dentro chosen
    Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
  • B. Engenho do Meio
    Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • C. Aleijadinho
    Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
  • D. Cidade Nova
    Cidade Nova is a central neighborhood in Rio de Janeiro, Brazil, known for its mix of residential areas, government offices, and important transport links.
  • E. Vale da Telha
    Vale da Telha is a coastal residential area in Portugal’s Algarve region, known for its proximity to several Atlantic beaches and its location within the Vicentine Coast Natural Park.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
Created at: March 30, 2026, 9:02 p.m.