Triple

T11911895
Position Surface form Disambiguated ID Type / Status
Subject AZU E283415 entity
Predicate airlineSecondaryHubCity P48850 FINISHED
Object Belo Horizonte E112920 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: Belo Horizonte | Statement: [AZU, airlineSecondaryHubCity, Belo Horizonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belo Horizonte
Context triple: [AZU, airlineSecondaryHubCity, Belo Horizonte]
  • A. Belo Horizonte chosen
    Belo Horizonte is the capital and largest city of the Brazilian state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and economic life.
  • B. São Paulo
    São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
  • C. Goiânia
    Goiânia is the capital and largest city of the Brazilian state of Goiás, known as a major regional center for agriculture, industry, and services in central Brazil.
  • D. Guarulhos
    Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
  • E. Juiz de Fora
    Juiz de Fora is a major industrial and university city in the state of Minas Gerais, known for its strategic location between Rio de Janeiro, São Paulo, and Belo Horizonte.
  • 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: airlineSecondaryHubCity
Context triple: [AZU, airlineSecondaryHubCity, Belo Horizonte]
  • A. hasSecondaryAirport
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • B. secondaryHubOfAirline
    Indicates that an airport serves as a secondary operational hub for a particular airline, supporting but not replacing its primary hub activities.
  • C. operatorSecondaryHubAirportIATA
    Indicates the IATA airport code of a secondary hub airport used by the operator.
  • D. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • E. hasSecondaryCity chosen
    Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6344f8ee88190aae2b0052f296e19 completed May 2, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69d8bb3632ac8190b13e53c2b5db7125 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.