Triple

T19172332
Position Surface form Disambiguated ID Type / Status
Subject Maranhão E469351 entity
Predicate hasIsland P970 FINISHED
Object São Luís Island 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: São Luís Island | Statement: [Maranhão, hasIsland, São Luís Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Luís Island
Context triple: [Maranhão, hasIsland, São Luís Island]
  • A. São Luís Island chosen
    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.
  • B. Manoel Island
    Manoel Island is a small historic island in Marsamxett Harbour, Malta, known for its 18th-century fortifications and strategic maritime location opposite Valletta.
  • C. Providencia Island
    Providencia Island is a small Caribbean island of Colombia known for its coral reefs, clear waters, and relatively untouched, laid-back atmosphere.
  • D. Fundão Island
    Fundão Island is an artificial island in Rio de Janeiro, Brazil, best known as the main campus site of the Federal University of Rio de Janeiro within Guanabara Bay.
  • E. Santa Luzia Island
    Santa Luzia Island is an uninhabited island in Cape Verde known for its protected natural environment and importance as a marine and bird conservation area.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16544948190bd10ca7804dd27a5 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.