Triple

T8169544
Position Surface form Disambiguated ID Type / Status
Subject Minas Gerais E190780 entity
Predicate containsCity P294 FINISHED
Object Juiz de Fora E233142 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: Juiz de Fora | Statement: [Minas Gerais, containsCity, Juiz de Fora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juiz de Fora
Context triple: [Minas Gerais, containsCity, Juiz de Fora]
  • A. Juiz de Fora chosen
    Juiz de Fora is a major industrial and university city in the state of Minas Gerais, known for its strategic location between Rio de Janeiro, São Paulo, and Belo Horizonte.
  • B. São João del-Rei
    São João del-Rei is a historic colonial-era city in southeastern Brazil renowned for its baroque architecture, gold-mining heritage, and well-preserved churches.
  • C. 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.
  • D. Sete Lagoas
    Sete Lagoas is a city in the state of Minas Gerais, Brazil, known for its industrial activity and automotive manufacturing sector.
  • E. Ouro Preto
    Ouro Preto is a historic colonial mining town in southeastern Brazil renowned for its well-preserved baroque architecture and role in the country’s gold rush era.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4803de688190960438aa059d163b completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67b82424819082fdbfe9bf2a9839 completed April 1, 2026, 6:45 p.m.
Created at: March 30, 2026, 5:39 p.m.