Triple

T6302415
Position Surface form Disambiguated ID Type / Status
Subject Sertão Sergipano E141287 entity
Predicate distinctFrom P1612 FINISHED
Object Agreste Sergipano 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 Sergipano | Statement: [Sertão Sergipano, distinctFrom, Agreste Sergipano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agreste Sergipano
Context triple: [Sertão Sergipano, distinctFrom, Agreste Sergipano]
  • 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. Caieiras
    Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
  • D. Cariri
    Cariri is a microregion in the state of Ceará, Brazil, known for its cultural heritage, religious tourism, and distinctive semi-arid landscapes.
  • E. Brejo Grande
    Brejo Grande is a small coastal municipality in the Brazilian state of Sergipe, known for its location at the mouth of the São Francisco River.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e436e7ec8190a5ea470eb83ddaea completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:27 p.m.