Triple

T2633622
Position Surface form Disambiguated ID Type / Status
Subject Avenida Paulista E59692 entity
Predicate namedAfter P63 FINISHED
Object Paulistas E60066 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: Paulistas | Statement: [Avenida Paulista, namedAfter, Paulistas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulistas
Context triple: [Avenida Paulista, namedAfter, Paulistas]
  • A. Paulista
    Paulista is a coastal city in the northeastern Brazilian state of Pernambuco, known for its beaches and proximity to the Recife metropolitan area.
  • B. state of São Paulo chosen
    The state of São Paulo is Brazil’s most populous and economically developed state, centered on its capital city of São Paulo, a major global financial and cultural hub.
  • C. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • D. Bahia
    Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
  • E. State of Rio de Janeiro
    The State of Rio de Janeiro is a coastal state in southeastern Brazil known for its capital city of Rio de Janeiro, major ports, tourism, and significant cultural and economic influence.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a996188190b3a83a31e69d09ef completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.