Triple

T18316886
Position Surface form Disambiguated ID Type / Status
Subject Kasato Maru E438771 entity
Predicate arrivalPort P1522 FINISHED
Object Port of Santos 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: Port of Santos | Statement: [Kasato Maru, arrivalPort, Port of Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Santos
Context triple: [Kasato Maru, arrivalPort, 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 Paranaguá
    The Port of Paranaguá is one of Brazil’s largest and busiest seaports, serving as a major hub for agricultural exports and international trade in the southern region of the country.
  • D. Port of Itajaí
    The Port of Itajaí is one of Brazil’s main maritime hubs, especially important for container shipping and regional trade in the southern state of Santa Catarina.
  • 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 (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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021f5f1081909fd98c8fb786c7ff completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.