Triple

T1879823
Position Surface form Disambiguated ID Type / Status
Subject Santos Dumont Airport E39826 entity
Predicate operatedBy P86 FINISHED
Object Infraero E209314 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: Infraero | Statement: [Santos Dumont Airport, operatedBy, Infraero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infraero
Context triple: [Santos Dumont Airport, operatedBy, Infraero]
  • A. Infraero chosen
    Infraero is a Brazilian state-owned company responsible for managing and operating numerous major airports across Brazil.
  • B. Companhia Caminho Aéreo Pão de Açúcar
    Companhia Caminho Aéreo Pão de Açúcar is the company that operates the iconic cable car system connecting Rio de Janeiro’s Sugarloaf Mountain and surrounding peaks.
  • C. Grupo Aeroportuario del Pacífico
    Grupo Aeroportuario del Pacífico is a major Mexican airport operator that manages a network of key airports across the Pacific region of Mexico and parts of the United States.
  • D. ANA Aeroportos de Portugal
    ANA Aeroportos de Portugal is the Portuguese company responsible for managing and operating the country’s main airports, including major hubs such as Lisbon, Porto, and Faro.
  • E. Aeropuertos Argentina 2000
    Aeropuertos Argentina 2000 is a major Argentine airport management company that operates numerous airports across the country, including its main international gateways.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fa3d388190993073ffb0f60a84 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae44f6c8190a5924609863030a4 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.