Triple

T6247961
Position Surface form Disambiguated ID Type / Status
Subject Agreste Sergipano E139768 entity
Predicate partOf P40 FINISHED
Object Agreste Nordestino E139768 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: Agreste Nordestino | Statement: [Agreste Sergipano, partOf, Agreste Nordestino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agreste Nordestino
Context triple: [Agreste Sergipano, partOf, Agreste Nordestino]
  • A. Agreste Sergipano chosen
    Agreste Sergipano is a semi-arid transitional subregion of the Brazilian state of Sergipe, characterized by mixed agricultural activity and a landscape between the coastal zone and the sertão.
  • B. Sertão Sergipano
    Sertão Sergipano is the semi-arid hinterland region of the Brazilian state of Sergipe, characterized by dry climate, caatinga vegetation, and traditional rural communities.
  • C. Brejo Paraibano
    Brejo Paraibano is a traditional microregion in the state of Paraíba, Brazil, known for its mild climate, green landscapes, and cultural and historical significance within the Agreste zone.
  • D. Caieiras
    Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
  • E. Beira Litoral
    Beira Litoral was a former central coastal province of Portugal that included the city of Coimbra and stretched between the Atlantic Ocean and the interior regions.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633a9a048190856d5247d3b28a2e completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5191599d0819098a1b20b9d680f4b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:23 p.m.