Triple

T23055375
Position Surface form Disambiguated ID Type / Status
Subject Diamantina E574140 entity
Predicate partOf P40 FINISHED
Object Diamantina microregion 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: Diamantina microregion | Statement: [Diamantina, partOf, Diamantina microregion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diamantina microregion
Context triple: [Diamantina, partOf, Diamantina microregion]
  • A. Nova Cruz microregion
    The Nova Cruz microregion is an administrative and statistical subdivision in the state of Rio Grande do Norte, Brazil, centered around the city of Nova Cruz.
  • B. Arapiraca microregion
    The Arapiraca microregion is an administrative and statistical subdivision in the state of Alagoas, Brazil, centered around the city of Arapiraca and comprising several surrounding municipalities.
  • C. Mata Paraibana mesoregion
    The Mata Paraibana mesoregion is a geographic and socio-economic region in the eastern part of the Brazilian state of Paraíba, characterized by coastal plains, Atlantic Forest remnants, and a concentration of urban and agricultural activities.
  • D. Paranapiacaba region
    The Paranapiacaba region is a historic mountainous area in the Brazilian state of São Paulo, known for its Atlantic Forest landscapes, railway heritage, and frequent misty climate.
  • E. Sousa microregion
    The Sousa microregion is an administrative and geographic subdivision in the state of Paraíba, Brazil, centered around the city of Sousa and used for regional planning and statistical purposes.
  • 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: Diamantina microregion
Target entity description: The Diamantina microregion is an administrative and geographic subdivision in the state of Minas Gerais, Brazil, centered around the historic city of Diamantina and known for its colonial heritage and mountainous landscapes.
  • A. Nova Cruz microregion
    The Nova Cruz microregion is an administrative and statistical subdivision in the state of Rio Grande do Norte, Brazil, centered around the city of Nova Cruz.
  • B. Arapiraca microregion
    The Arapiraca microregion is an administrative and statistical subdivision in the state of Alagoas, Brazil, centered around the city of Arapiraca and comprising several surrounding municipalities.
  • C. Mata Paraibana mesoregion
    The Mata Paraibana mesoregion is a geographic and socio-economic region in the eastern part of the Brazilian state of Paraíba, characterized by coastal plains, Atlantic Forest remnants, and a concentration of urban and agricultural activities.
  • D. Paranapiacaba region
    The Paranapiacaba region is a historic mountainous area in the Brazilian state of São Paulo, known for its Atlantic Forest landscapes, railway heritage, and frequent misty climate.
  • E. Sousa microregion
    The Sousa microregion is an administrative and geographic subdivision in the state of Paraíba, Brazil, centered around the city of Sousa and used for regional planning and statistical purposes.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867f71508190ad4513c6de2453e6 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.