Triple

T21532959
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Midwest E531280 entity
Predicate alsoKnownAs P39 FINISHED
Object Centro-Oeste 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: Centro-Oeste | Statement: [Brazilian Midwest, alsoKnownAs, Centro-Oeste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro-Oeste
Context triple: [Brazilian Midwest, alsoKnownAs, Centro-Oeste]
  • A. NORDESTE
    NORDESTE was the radio callsign used by the Brazilian regional airline Nordeste Linhas Aéreas Regionais during its operations.
  • B. Nordeste
    Nordeste is a picturesque municipality on the northeastern tip of São Miguel Island in the Azores, known for its dramatic coastal cliffs, lush landscapes, and scenic viewpoints.
  • C. Suroeste
    Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
  • D. Oeste Subregion
    Oeste Subregion is an administrative and statistical region in western Portugal known for its coastal landscapes, agriculture, and growing urban centers within the Lisbon metropolitan area.
  • E. Norte Region
    Norte Region is the northernmost administrative region of Portugal, known for its historic cities like Porto and Braga, rich cultural heritage, and strong industrial and academic presence.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centro-Oeste
Target entity description: Centro-Oeste is the central-western region of Brazil, known for its vast savannas, agribusiness production, and the nation’s capital, Brasília.
  • A. NORDESTE
    NORDESTE was the radio callsign used by the Brazilian regional airline Nordeste Linhas Aéreas Regionais during its operations.
  • B. Nordeste
    Nordeste is a picturesque municipality on the northeastern tip of São Miguel Island in the Azores, known for its dramatic coastal cliffs, lush landscapes, and scenic viewpoints.
  • C. Suroeste
    Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
  • D. Oeste Subregion
    Oeste Subregion is an administrative and statistical region in western Portugal known for its coastal landscapes, agriculture, and growing urban centers within the Lisbon metropolitan area.
  • E. Norte Region
    Norte Region is the northernmost administrative region of Portugal, known for its historic cities like Porto and Braga, rich cultural heritage, and strong industrial and academic presence.
  • F. None of above. chosen

Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.