Triple

T11107687
Position Surface form Disambiguated ID Type / Status
Subject Port of Montevideo E262675 entity
Predicate handlesTrafficFrom P24068 FINISHED
Object Brazil E19289 NE FINISHED

How this triple was built (3 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: Brazil | Statement: [Port of Montevideo, handlesTrafficFrom, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazil
Context triple: [Port of Montevideo, handlesTrafficFrom, Brazil]
  • A. Brazil chosen
    Brazil is the largest country in South America, known for its vast Amazon rainforest, diverse culture, and major cities like São Paulo and Rio de Janeiro.
  • B. Brazil
    Brazil is a 1985 dystopian science fiction film known for its darkly satirical portrayal of a bureaucratic, totalitarian society and its distinctive, surreal visual style.
  • C. Brasyl
    Brasyl is a science fiction novel by Ian McDonald that intertwines multiple timelines in Brazil to explore themes of quantum reality, culture, and globalization.
  • D. Portela
    Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • E. Republic of the United States of Brazil
    The Republic of the United States of Brazil was the federal republican regime that succeeded the Brazilian monarchy in 1889 and governed Brazil through much of the 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlesTrafficFrom
Context triple: [Port of Montevideo, handlesTrafficFrom, Brazil]
  • A. hasTrafficFunction
    Indicates that an entity performs, supports, or is assigned a specific function or role related to traffic management or control.
  • B. handlesSignificantShareOfTrafficAt chosen
    Indicates that an entity is responsible for managing or processing a substantial proportion of the traffic volume at a specified location or system.
  • C. hasTrafficManagement
    Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
  • D. regulatesTrafficBetween
    Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
  • E. hasTrafficDirection
    Indicates that there is a specified flow or orientation of traffic associated with an entity (such as a road, lane, or route).
  • F. None of above.

Provenance (4 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6546d4819092187e9c12a30ed5 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69d7441cf8188190b8095f622c923156 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.