Triple

T18736825
Position Surface form Disambiguated ID Type / Status
Subject Mosteiros E458182 entity
Predicate borderedBy P224 FINISHED
Object Santa Catarina do Fogo 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: Santa Catarina do Fogo | Statement: [Mosteiros, borderedBy, Santa Catarina do Fogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Catarina do Fogo
Context triple: [Mosteiros, borderedBy, Santa Catarina do Fogo]
  • A. Santa Catarina do Fogo chosen
    Santa Catarina do Fogo is a municipality on the island of Fogo in Cape Verde, known for its rural communities and agricultural activities.
  • B. Salvador da Cunha
    Salvador da Cunha was a Portuguese political figure credited with helping to establish the modern Socialist Party (Partido Socialista) in Portugal.
  • C. Trindade
    Trindade is a municipality in the Brazilian state of Goiás, known as an important religious pilgrimage center.
  • D. Ilha do Leite
    Ilha do Leite is a central neighborhood in Recife, Brazil, known primarily as a major medical and business district with numerous hospitals, clinics, and commercial buildings.
  • E. Santa Catarina Island
    Santa Catarina Island is a large Brazilian island off the coast of the state of Santa Catarina, known for its capital city Florianópolis, scenic beaches, and popular tourism.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.