Triple

T20680175
Position Surface form Disambiguated ID Type / Status
Subject São Paulo to Paris E508269 entity
Predicate operatedByCountry P141022 FINISHED
Object Brazil NE NERFINISHED

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: [São Paulo to Paris, operatedByCountry, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazil
Context triple: [São Paulo to Paris, operatedByCountry, 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. Portela
    Portela is a small settlement located within the caldera of Pico do Fogo volcano on Fogo Island in Cape Verde.
  • 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: operatedByCountry
Context triple: [São Paulo to Paris, operatedByCountry, Brazil]
  • A. operatedToCountry
    Indicates that an operation, service, or activity is conducted or extended from some source to a specified country.
  • B. railwayOperatorCountry
    Indicates the country in which a given railway operator is based or operates.
  • C. operatesInCountries
    Indicates that an entity conducts its activities or business within the specified countries.
  • D. operatesFacilityInCountry
    Indicates that an entity runs or manages a facility that is located within a specified country.
  • E. operatorNationality
    Indicates that an operator has a specific national affiliation or country of origin.
  • F. None of above. chosen

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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea655488190bab168d564d888af completed April 21, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69e5c03caee881908be4dd25796a03d5 completed April 20, 2026, 5:57 a.m.
PDg Predicate description generation batch_69e5c3caef50819093c8159fe8d6435b completed April 20, 2026, 6:12 a.m.
Created at: April 16, 2026, 11:44 a.m.