Triple

T12312286
Position Surface form Disambiguated ID Type / Status
Subject Taboão da Serra E293508 entity
Predicate hasBorderWith P224 FINISHED
Object Embu das Artes E132417 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: Embu das Artes | Statement: [Taboão da Serra, hasBorderWith, Embu das Artes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embu das Artes
Context triple: [Taboão da Serra, hasBorderWith, Embu das Artes]
  • A. Embu das Artes chosen
    Embu das Artes is a municipality in the state of São Paulo, Brazil, historically noted as the place where Nazi war criminal Josef Mengele was buried under a false identity.
  • B. Aleijadinho
    Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
  • C. Engenho de Dentro
    Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
  • D. Cidade Morena
    Cidade Morena is a popular nickname for Campo Grande, the capital city of Mato Grosso do Sul in Brazil, known for its reddish soil and warm climate.
  • E. Arte di Calimala
    Arte di Calimala was one of medieval Florence’s most powerful merchant guilds, overseeing the import, finishing, and trade of high-quality foreign cloth and playing a major role in the city’s economic and political life.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e84fa708190854afc6afd425fd7 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.