Triple

T4813211
Position Surface form Disambiguated ID Type / Status
Subject BRA E107120 entity
Predicate hasCountryNamePortuguese P55515 FINISHED
Object Brasil 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: Brasil | Statement: [BRA, hasCountryNamePortuguese, Brasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brasil
Context triple: [BRA, hasCountryNamePortuguese, Brasil]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Paraguay
    Paraguay is a landlocked country in central South America known for its bilingual Spanish and Guaraní culture and its location along the Paraguay and Paraná rivers.
  • E. Argentina
    Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
  • 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: hasCountryNamePortuguese
Context triple: [BRA, hasCountryNamePortuguese, Brasil]
  • A. countryNamePortuguese chosen
    Indicates the Portuguese-language name assigned to a given country.
  • B. nameInPortuguese
    Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
  • C. hasOfficialNameInPortuguese
    Indicates that an entity has an official name expressed in the Portuguese language.
  • D. hasPortugueseNameMeaning
    Indicates that an entity has a Portuguese name whose semantic meaning is being specified or referenced.
  • E. representsCountryNameEnglish
    Indicates that an entity’s country name is given in English.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81ad41848190bb86aee50b33ca75 completed March 21, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69bd6c1dfa3481909d240d50ed0ee38c completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:23 p.m.