Triple

T22867755
Position Surface form Disambiguated ID Type / Status
Subject Mamanguape microregion E567100 entity
Predicate partOf P40 FINISHED
Object Mata Paraibana mesoregion 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: Mata Paraibana mesoregion | Statement: [Mamanguape microregion, partOf, Mata Paraibana mesoregion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mata Paraibana mesoregion
Context triple: [Mamanguape microregion, partOf, Mata Paraibana mesoregion]
  • A. 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.
  • 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. 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.
  • D. Vale do Paraíba region
    The Vale do Paraíba region is an important industrial and technological corridor in southeastern Brazil, strategically located between São Paulo and Rio de Janeiro and known for its aerospace, automotive, and service sectors.
  • E. Vale do Taquari region
    The Vale do Taquari region is a predominantly agricultural and industrial area in the state of Rio Grande do Sul, Brazil, known for its German-influenced culture and numerous small and medium-sized cities.
  • 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: Mata Paraibana mesoregion
Target entity description: 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.
  • A. 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.
  • 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. 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.
  • D. Vale do Paraíba region
    The Vale do Paraíba region is an important industrial and technological corridor in southeastern Brazil, strategically located between São Paulo and Rio de Janeiro and known for its aerospace, automotive, and service sectors.
  • E. Vale do Taquari region
    The Vale do Taquari region is a predominantly agricultural and industrial area in the state of Rio Grande do Sul, Brazil, known for its German-influenced culture and numerous small and medium-sized cities.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f02c8b8819095cbee626f935fed completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.