Triple

T10401236
Position Surface form Disambiguated ID Type / Status
Subject Port of Açu E245150 entity
Predicate owner P347 FINISHED
Object Prumo Logística E861684 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: Prumo Logística | Statement: [Port of Açu, owner, Prumo Logística]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prumo Logística
Context triple: [Port of Açu, owner, Prumo Logística]
  • A. Prumo Logística chosen
    Prumo Logística is a Brazilian infrastructure and logistics company best known for developing and operating the Port of Açu, one of Latin America’s largest private port-industrial complexes.
  • B. Imperial Logistics
    Imperial Logistics is a South African-based logistics and supply chain company that provides transportation, warehousing, and distribution services across Africa and other global markets.
  • C. Geodis
    Geodis is a global logistics and supply chain management company providing freight forwarding, contract logistics, and transportation services.
  • D. Casa Transports SA
    Casa Transports SA is the public company responsible for managing and developing urban transport infrastructure and services in Casablanca, Morocco, including the city’s tramway network.
  • E. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e84f7a08190b83ecfec72efb7a7 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:07 p.m.