Triple

T19626351
Position Surface form Disambiguated ID Type / Status
Subject São Luís Island E471145 entity
Predicate alsoKnownAs P39 FINISHED
Object Maranhão 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: Maranhão Island | Statement: [São Luís Island, alsoKnownAs, Maranhão Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maranhão Island
Context triple: [São Luís Island, alsoKnownAs, Maranhão Island]
  • A. 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.
  • B. Ilha do Maranhão chosen
    Ilha do Maranhão is a large Atlantic island in northeastern Brazil that hosts the historic city of São Luís, known for its colonial architecture and cultural heritage.
  • C. Boa Vista
    Boa Vista is one of Cape Verde’s easternmost islands, known for its extensive sandy beaches, desert-like landscapes, and tourism-focused resorts.
  • D. Boa Vista
    Boa Vista is the largest city and main political and economic center of the Brazilian state of Roraima, located in the northern Amazon region near the border with Venezuela and Guyana.
  • E. Boa Vista
    Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e9ff208190afb33c910ed2147b completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.