Triple

T22240389
Position Surface form Disambiguated ID Type / Status
Subject Portuguesa Santista E549702 entity
Predicate region P40 FINISHED
Object Santos metropolitan area — NE NERFINISHED

How this triple was built (3 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: Santos metropolitan area | Statement: [Portuguesa Santista, region, Santos metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santos metropolitan area
Context triple: [Portuguesa Santista, region, Santos metropolitan area]
  • A. São Paulo metropolitan area
    The São Paulo metropolitan area is Brazil’s largest and most populous urban agglomeration, encompassing the city of São Paulo and numerous surrounding municipalities that form a major economic and cultural hub in Latin America.
  • B. Natal metropolitan region
    The Natal metropolitan region is a major urban agglomeration in the state of Rio Grande do Norte, Brazil, centered on the city of Natal and encompassing several surrounding municipalities.
  • C. Londrina metropolitan area
    The Londrina metropolitan area is a major urban and economic region in northern Paraná, Brazil, centered around the city of Londrina and its surrounding municipalities.
  • D. Santos city
    Santos city is a coastal municipality in the state of São Paulo, Brazil, best known for its major port and its historic football club Santos FC.
  • E. Punta del Este metropolitan area
    The Punta del Este metropolitan area is a major coastal urban and resort region in southeastern Uruguay centered on the famous beach city of Punta del Este and its surrounding communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santos metropolitan area
Target entity description: The Santos metropolitan area is a coastal urban agglomeration in the state of São Paulo, Brazil, centered on the port city of Santos and encompassing several neighboring municipalities.
  • A. São Paulo metropolitan area
    The São Paulo metropolitan area is Brazil’s largest and most populous urban agglomeration, encompassing the city of São Paulo and numerous surrounding municipalities that form a major economic and cultural hub in Latin America.
  • B. Natal metropolitan region
    The Natal metropolitan region is a major urban agglomeration in the state of Rio Grande do Norte, Brazil, centered on the city of Natal and encompassing several surrounding municipalities.
  • C. Londrina metropolitan area
    The Londrina metropolitan area is a major urban and economic region in northern Paraná, Brazil, centered around the city of Londrina and its surrounding municipalities.
  • D. Santos city
    Santos city is a coastal municipality in the state of São Paulo, Brazil, best known for its major port and its historic football club Santos FC.
  • E. Punta del Este metropolitan area
    The Punta del Este metropolitan area is a major coastal urban and resort region in southeastern Uruguay centered on the famous beach city of Punta del Este and its surrounding communities.
  • F. None of above. chosen

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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132133b908190b0fb32a5ee68e1e6 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.