Triple

T474619
Position Surface form Disambiguated ID Type / Status
Subject São Paulo E9033 entity
Predicate isCapitalOf P204 FINISHED
Object state of São Paulo 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: state of São Paulo | Statement: [São Paulo, isCapitalOf, state of São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of São Paulo
Context triple: [São Paulo, isCapitalOf, state of São Paulo]
  • A. 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.
  • B. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • C. Ceará
    Ceará is a state in northeastern Brazil known for its long Atlantic coastline, semi-arid interior, and vibrant cultural traditions centered around its capital, Fortaleza.
  • D. São Paulo chosen
    São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
  • E. Southeast Region of Brazil
    The Southeast Region of Brazil is the country’s most populous and economically developed area, encompassing major states and cities such as São Paulo, Rio de Janeiro, and Minas Gerais.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f039f3d88190a7c93ecbf1bf5f58 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a468010c10819090d325d6c3d6f50c completed March 1, 2026, 4:23 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.