Triple

T2068852
Position Surface form Disambiguated ID Type / Status
Subject Southeast Region of Brazil E45968 entity
Predicate containsCity P294 FINISHED
Object São José dos Campos E210016 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 José dos Campos | Statement: [Southeast Region of Brazil, containsCity, São José dos Campos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São José dos Campos
Context triple: [Southeast Region of Brazil, containsCity, São José dos Campos]
  • A. Campinas
    Campinas is a major city in the state of São Paulo, Brazil, known as an important industrial, technological, and transportation hub in the country.
  • B. São José dos Campos, Brazil chosen
    São José dos Campos, Brazil is a major industrial and technological hub in the state of São Paulo, known especially for its aerospace industry and research institutions.
  • C. Santo Amaro
    Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
  • D. São José
    São José is a historic central neighborhood of Recife, Brazil, known for its traditional markets, colonial-era architecture, and vibrant commercial activity.
  • E. Cumbuco
    Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f51a008190aead0173a9289204 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5184b7d8819095693cea73e54ff1 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:41 p.m.