Triple

T23562406
Position Surface form Disambiguated ID Type / Status
Subject Lower São Francisco region of Alagoas E579277 entity
Predicate containsMunicipality P852 FINISHED
Object Penedo NE NERFINISHED

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: Penedo | Statement: [Lower São Francisco region of Alagoas, containsMunicipality, Penedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penedo
Context triple: [Lower São Francisco region of Alagoas, containsMunicipality, Penedo]
  • A. Penedo chosen
    Penedo is a historic riverside city in the Brazilian state of Alagoas, known for its colonial architecture and cultural heritage along the São Francisco River.
  • B. Penha
    Penha is a coastal municipality in the state of Santa Catarina in southern Brazil, known for its beaches and the Beto Carrero World theme park.
  • C. Serra Caiada
    Serra Caiada is a municipality in the state of Rio Grande do Norte in northeastern Brazil, known for its distinctive rocky landscapes and integration into the greater Natal urban area.
  • D. Serra da Nave
    Serra da Nave is a mountainous area in northern Portugal that forms part of the natural landscape influencing the climate and viticulture of the Dão wine region.
  • E. Serra do Mel
    Serra do Mel is a municipality in the state of Rio Grande do Norte, Brazil, known for its planned rural villages and cashew production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af68cddc8190ab9d0b7ee1f157ed completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:25 p.m.