Triple

T8826104
Position Surface form Disambiguated ID Type / Status
Subject ERJ E210018 entity
Predicate hasIssuerCountry P19617 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: [ERJ, hasIssuerCountry, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazil
Context triple: [ERJ, hasIssuerCountry, 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: hasIssuerCountry
Context triple: [ERJ, hasIssuerCountry, Brazil]
  • A. issuerCountry chosen
    Indicates the country that has issued or is responsible for the issuance of a given entity (such as a document, instrument, or security).
  • B. hasIssuerPrimaryBusiness
    Indicates that an entity’s main or primary line of business is identified or characterized by the associated business activity or classification.
  • C. hasIssuerCode
    Indicates that an entity is associated with a specific issuer’s identifying code.
  • D. isIssuedFor
    Indicates that something (such as a document, order, or item) has been formally created, authorized, or provided for a specific purpose, recipient, or use.
  • E. signedFromCountry
    Indicates that an entity has signed or entered into an agreement, contract, or document originating from or associated with a specified country.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc60332d208190972a8b03fbd760ee completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf890b49048190b49c784f84e23496 completed April 3, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69cc5c23d08481908d8c9b0ad3d1dc00 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:46 p.m.