Triple

T9597848
Position Surface form Disambiguated ID Type / Status
Subject Port of Santos E231775 entity
Predicate hasAlternativeName P39 FINISHED
Object Porto de Santos E231775 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: Porto de Santos | Statement: [Port of Santos, hasAlternativeName, Porto de Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto de Santos
Context triple: [Port of Santos, hasAlternativeName, Porto de Santos]
  • A. Port of Santos chosen
    The Port of Santos is Brazil’s largest and busiest seaport, serving as a key hub for international trade and cargo movement in South America.
  • B. Port of Rio de Janeiro
    The Port of Rio de Janeiro is one of Brazil’s principal seaports, serving as a major hub for cargo, passenger traffic, and maritime trade along the country’s southeastern coast.
  • C. Porto Judeu
    Porto Judeu is a civil parish on Terceira Island in the Azores, Portugal, known for its coastal setting and traditional Azorean character.
  • D. 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.
  • E. Port of Itaguaí
    The Port of Itaguaí is a major Brazilian seaport and industrial hub located in the metropolitan area of Rio de Janeiro, serving as a key gateway for bulk cargo and mineral exports.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a366d3481908db62e476958eafe completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1619f4170819092ae90b2896b0855 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.