Triple

T4142739
Position Surface form Disambiguated ID Type / Status
Subject Santos E89307 entity
Predicate hasPort P35 FINISHED
Object Port of 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: Port of Santos | Statement: [Santos, hasPort, Port of Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Santos
Context triple: [Santos, hasPort, Port of 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. 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.
  • 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 Angra do Heroísmo
    The Port of Angra do Heroísmo is a historic maritime harbor on Terceira Island in the Azores, Portugal, long serving as a key Atlantic stopover for trade and navigation.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af024cc7e88190b23b39d6f5f2a2e0 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576cff6c881909134804ba6f9876d completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.