Triple

T12303095
Position Surface form Disambiguated ID Type / Status
Subject Verdão E293280 entity
Predicate clubStadiumCountry P31583 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: [Verdão, clubStadiumCountry, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazil
Context triple: [Verdão, clubStadiumCountry, 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: clubStadiumCountry
Context triple: [Verdão, clubStadiumCountry, Brazil]
  • A. associatedWithCountryStadium
    Indicates that there is an association or connection between a country and a stadium, such as location, ownership, or primary use.
  • B. countryNationalStadiumOf
    Indicates that a given stadium serves as the official national stadium of a specified country.
  • C. homeStadiumCountry chosen
    Indicates that the country specified is the one in which a team's home stadium is located.
  • D. footballStadiumLocation
    Indicates the relationship specifying where a particular football stadium is geographically located.
  • E. countryCapitalStadium
    Indicates that a stadium is located in and serves as a principal sports venue for the capital city of a given 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63464486c819085452675a43785b1 completed May 2, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.