Triple

T19432310
Position Surface form Disambiguated ID Type / Status
Subject Tancredo Neves International Airport E486145 entity
Predicate operator P179 FINISHED
Object BH Airport NE NERFINISHED

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: BH Airport | Statement: [Tancredo Neves International Airport, operator, BH Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BH Airport
Context triple: [Tancredo Neves International Airport, operator, BH Airport]
  • A. BH Airport chosen
    BH Airport is the private consortium responsible for managing and operating Belo Horizonte-Confins International Airport in Brazil.
  • B. Ho Airport
    Ho Airport is a domestic airport serving the city of Ho in Ghana’s Volta Region.
  • C. Homiel Airport
    Homiel Airport is a regional public airport serving the city of Gomel in southeastern Belarus, handling domestic and limited international flights.
  • D. Philip S. W. Goldson International Airport
    Philip S. W. Goldson International Airport is the main international gateway to Belize, serving as the country's primary hub for commercial air travel.
  • E. HEF Airport
    HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335c2d7481909a44b45d95492e02 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.