Triple

T13669840
Position Surface form Disambiguated ID Type / Status
Subject Porto Santo Airport E327718 entity
Predicate connectsTo P845 FINISHED
Object Madeira Airport E265114 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: Madeira Airport | Statement: [Porto Santo Airport, connectsTo, Madeira Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeira Airport
Context triple: [Porto Santo Airport, connectsTo, Madeira Airport]
  • A. Aeroporto de Faro
    Aeroporto de Faro is an international airport in Portugal’s Algarve region that serves as a major gateway for tourists visiting the southern coast.
  • B. Ponta Delgada Airport
    Ponta Delgada Airport is the main international gateway to São Miguel Island in Portugal’s Azores archipelago, serving as a key hub for regional and transatlantic flights.
  • C. Funchal Airport chosen
    Funchal Airport is the main international airport serving the island of Madeira, Portugal, known for its dramatic runway and challenging approach.
  • D. Lisbon Airport
    Lisbon Airport is the main international gateway to Portugal’s capital, serving as a major European hub for both traditional and low-cost airlines.
  • E. Porto Airport
    Porto Airport is an international airport in northern Portugal serving the city of Porto and the surrounding region as a major gateway for both domestic and European flights.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0f56048190bcbc6581a8cdc0f5 completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:53 p.m.