Triple

T5261518
Position Surface form Disambiguated ID Type / Status
Subject Varig E118834 entity
Predicate headquartersLocation P62 FINISHED
Object Porto Alegre E115361 NE FINISHED

How this triple was built (2 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: Porto Alegre | Statement: [Varig, headquartersLocation, Porto Alegre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Alegre
Context triple: [Varig, headquartersLocation, Porto Alegre]
  • A. Porto Alegre chosen
    Porto Alegre is the capital and largest city of Brazil’s southernmost state, Rio Grande do Sul, known for its cultural diversity, strong gaucho traditions, and important role as a regional economic and political center.
  • B. Caxias do Sul
    Caxias do Sul is a major city in southern Brazil known for its strong European immigrant heritage, particularly German and Italian influences, and its significant industrial and wine-producing sectors.
  • C. Jaraguá do Sul
    Jaraguá do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage and industrial economy.
  • D. Curitiba
    Curitiba is the capital and largest city of the Brazilian state of Paraná, known for its innovative urban planning, extensive public transportation system, and high quality of life.
  • E. Novo Hamburgo
    Novo Hamburgo is a city in southern Brazil known for its strong German immigrant heritage and influential role in the country’s footwear industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd0c5f48190a1be89314c59f96b completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c3945c8190874ecd184fa886a0 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.