Triple

T16092657
Position Surface form Disambiguated ID Type / Status
Subject Barlavento Islands E390395 entity
Predicate hasIsland P970 FINISHED
Object Boa Vista E105258 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: Boa Vista | Statement: [Barlavento Islands, hasIsland, Boa Vista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boa Vista
Context triple: [Barlavento Islands, hasIsland, Boa Vista]
  • A. Boa Vista chosen
    Boa Vista is one of Cape Verde’s easternmost islands, known for its extensive sandy beaches, desert-like landscapes, and tourism-focused resorts.
  • B. Boa Vista
    Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
  • C. São Luís Island
    São Luís Island is a large Atlantic coastal island in northeastern Brazil that hosts the city of São Luís, capital of the state of Maranhão.
  • D. São Cristóvão
    São Cristóvão was one of the ships in the Portuguese fleet commanded by Bartolomeu Dias during his pioneering voyage around the Cape of Good Hope in the late 15th century.
  • E. São Cristóvão
    São Cristóvão is one of Brazil’s oldest colonial cities, known for its well-preserved historic center and UNESCO-listed São Francisco Square.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29da7008190aebeb35113e726ef completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:59 a.m.