Triple

T20439676
Position Surface form Disambiguated ID Type / Status
Subject Praça da Estação E501350 entity
Predicate hasPortugueseName P23359 FINISHED
Object Praça da Estação 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: Praça da Estação | Statement: [Praça da Estação, hasPortugueseName, Praça da Estação]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praça da Estação
Context triple: [Praça da Estação, hasPortugueseName, Praça da Estação]
  • A. Praça da Estação chosen
    Praça da Estação is a historic central square in Belo Horizonte, Brazil, known for its cultural events, public gatherings, and proximity to the city’s old railway station.
  • B. Praça Nova
    Praça Nova is a central public square in Mindelo, Cape Verde, known as a popular social and cultural gathering spot surrounded by historic buildings and cafés.
  • C. Praça de São Bento
    Praça de São Bento is a public square in Portugal known for its historical and cultural significance within its local urban setting.
  • D. Praça Onze
    Praça Onze is a historic square in Rio de Janeiro, Brazil, known as a former cultural hub of samba and Afro-Brazilian communities.
  • E. Praça Diogo de Vasconcelos
    Praça Diogo de Vasconcelos is a central square and popular social and commercial hub in the Savassi neighborhood of Belo Horizonte, Brazil.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f20fe08190b9370b523a20153d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.