Triple

T9231243
Position Surface form Disambiguated ID Type / Status
Subject Amazonia E221819 entity
Predicate underliesCountries P87694 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: [Amazonia, underliesCountries, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazil
Context triple: [Amazonia, underliesCountries, 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: underliesCountries
Context triple: [Amazonia, underliesCountries, Brazil]
  • A. relatedCountry
    Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
  • B. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • C. confluenceCountry
    Indicates the country within whose territory a given confluence (meeting point of geographic coordinates or rivers) is located.
  • D. regionCountrySide
    Indicates that a region is located in or associated with the countryside or rural area of a country.
  • E. countryOfUnderlyingCompany
    Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
  • F. None of above. chosen

Provenance (5 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee190204819096b38270a0abc116 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bac57e8819093dd5faf350a4133 completed April 4, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69cc7a3daeb481908b0abde3fbc1f1f0 completed April 1, 2026, 1:51 a.m.
PDg Predicate description generation batch_69cc95597be081908ece2491dd2f0f74 completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:29 p.m.