Triple

T22642090
Position Surface form Disambiguated ID Type / Status
Subject Armazéns do Porto E558854 entity
Predicate near P350 FINISHED
Object Porto do Recife 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: Porto do Recife | Statement: [Armazéns do Porto, near, Porto do Recife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto do Recife
Context triple: [Armazéns do Porto, near, Porto do Recife]
  • A. Porto do Recife chosen
    Porto do Recife is the historic seaport of Recife, Brazil, serving as a key hub for maritime trade and tourism in the city’s old town district.
  • B. Port of Salvador
    The Port of Salvador is a major Brazilian seaport and cargo hub on the Atlantic coast, serving as a key gateway for trade in northeastern Brazil.
  • C. Porto de Galinhas
    Porto de Galinhas is a popular beach town in northeastern Brazil known for its clear waters, natural tide pools, and vibrant tourist infrastructure.
  • D. Porto Judeu
    Porto Judeu is a civil parish on Terceira Island in the Azores, Portugal, known for its coastal setting and traditional Azorean character.
  • E. Jaboatão dos Guararapes
    Jaboatão dos Guararapes is a major coastal city in northeastern Brazil known for its historical significance in the Dutch-Portuguese conflicts and its integration into the metropolitan area of Recife.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703489a48190bd97a7eb7a571b64 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:04 p.m.