Triple

T10303171
Position Surface form Disambiguated ID Type / Status
Subject Port of Itaguaí E241683 entity
Predicate formerName P65 FINISHED
Object Port of Sepetiba E241683 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 Sepetiba | Statement: [Port of Itaguaí, formerName, Port of Sepetiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Sepetiba
Context triple: [Port of Itaguaí, formerName, Port of Sepetiba]
  • A. Port of Itaguaí chosen
    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.
  • 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 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.
  • D. Port of Santos
    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.
  • E. Port of Belém
    The Port of Belém is a major Brazilian river-sea port in the Amazon region, serving as a key hub for regional trade and passenger transport near the mouth of the Amazon River.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30846108190875042ab1c0204e0 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7501f76e081908a7509a877c72b82 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:45 a.m.