Triple

T1242479
Position Surface form Disambiguated ID Type / Status
Subject Copan Building E26688 entity
Predicate locatedIn P40 FINISHED
Object São Paulo city center E9033 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: São Paulo city center | Statement: [Copan Building, locatedIn, São Paulo city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Paulo city center
Context triple: [Copan Building, locatedIn, São Paulo city center]
  • A. Centro (Rio de Janeiro)
    Centro (Rio de Janeiro) is the historic downtown district of Rio de Janeiro, Brazil, known as the city’s main commercial, financial, and cultural hub.
  • B. São Paulo chosen
    São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
  • C. Rio de Janeiro
    Rio de Janeiro is a major Brazilian coastal city famed for its stunning beaches, dramatic landscape, Carnival festival, and iconic Christ the Redeemer statue.
  • D. Curitiba
    Curitiba is the capital and largest city of the Brazilian state of Paraná, known for its innovative urban planning, extensive public transportation system, and high quality of life.
  • E. Belo Horizonte
    Belo Horizonte is the capital and largest city of the Brazilian state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and economic 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f8a4208190bfcfeccc886de987 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:47 p.m.