Triple

T34106019
Position Surface form Disambiguated ID Type / Status
Subject Itaguaí E874707 entity
Predicate hasPortAlias P91000 FINISHED
Object Port of Sepetiba 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 Sepetiba | Statement: [Itaguaí, hasPortAlias, Port of Sepetiba]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPortAlias
Context triple: [Itaguaí, hasPortAlias, Port of Sepetiba]
  • A. hasPortName chosen
    Indicates that one entity is identified by or associated with a specific port name.
  • B. hasPortOn
    Indicates that one entity possesses or is located adjacent to a port situated on another specified geographic or infrastructural feature (such as a coast, river, or lake).
  • C. isPortFor
    Indicates that one entity serves as a port, interface, or connection point for another entity.
  • D. hasPortRole
    Indicates that an entity participates in a port with a specified functional or operational role.
  • E. hasUserPort
    Indicates that an entity is associated with, exposes, or is accessible through a specific user-facing port or interface.
  • F. None of above.

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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff136ed2a881908f713401083970d1 completed May 9, 2026, 10:58 a.m.
PD Predicate disambiguation batch_69ff10f9e3448190b6cb6ea5a67713c1 completed May 9, 2026, 10:48 a.m.
Created at: May 1, 2026, 1:53 a.m.