Triple

T13669824
Position Surface form Disambiguated ID Type / Status
Subject Porto Santo Airport E327718 entity
Predicate operator P179 FINISHED
Object ANA Aeroportos de Portugal E82970 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: ANA Aeroportos de Portugal | Statement: [Porto Santo Airport, operator, ANA Aeroportos de Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANA Aeroportos de Portugal
Context triple: [Porto Santo Airport, operator, ANA Aeroportos de Portugal]
  • A. ANA Aeroportos de Portugal chosen
    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.
  • B. TAP Air Portugal
    TAP Air Portugal is the flag carrier airline of Portugal, operating an extensive network of international routes primarily from its Lisbon hub.
  • C. Portuguese Civil Aviation Authority
    The Portuguese Civil Aviation Authority is the national regulatory body responsible for overseeing and enforcing civil aviation safety, security, and standards in Portugal.
  • D. Azores Airlines
    Azores Airlines is a Portuguese airline that primarily serves the Azores archipelago, connecting its islands with mainland Portugal and various international destinations.
  • E. Infraero
    Infraero is a Brazilian state-owned company responsible for managing and operating numerous major airports across Brazil.
  • 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.