Triple

T16325888
Position Surface form Disambiguated ID Type / Status
Subject Sé, São Paulo E396416 entity
Predicate hasPart P35 FINISHED
Object Largo São Bento E953551 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: Largo São Bento | Statement: [Sé, São Paulo, hasPart, Largo São Bento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Largo São Bento
Context triple: [Sé, São Paulo, hasPart, Largo São Bento]
  • A. Largo São Bento chosen
    Largo São Bento is a traditional square in downtown São Paulo known for its historic Benedictine monastery and its role as a cultural and religious landmark in the city’s historic center.
  • B. Largo da Lapa
    Largo da Lapa is a well-known public square in Rio de Janeiro’s historic Lapa neighborhood, recognized for its vibrant nightlife, cultural events, and traditional bars.
  • C. Largo da Matriz
    Largo da Matriz is a central public square in Bragança Paulista, Brazil, known as a traditional gathering place and focal point of local social and religious life.
  • D. Arcos da Lapa
    Arcos da Lapa is a historic 18th-century aqueduct and iconic architectural landmark located in the Lapa neighborhood of Rio de Janeiro, Brazil.
  • E. Marina da Glória
    Marina da Glória is a prominent marina and event venue on Rio de Janeiro’s waterfront, known for its scenic views of Guanabara Bay and the city’s landmarks.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b9dcb88190beb0ca2206729175 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ca9f08190aa95560fea482dd4 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.