Triple

T11204199
Position Surface form Disambiguated ID Type / Status
Subject TAP Express E265117 entity
Predicate hub P423 FINISHED
Object Lisbon Airport E28532 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: Lisbon Airport | Statement: [TAP Express, hub, Lisbon Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon Airport
Context triple: [TAP Express, hub, Lisbon Airport]
  • A. Lisbon Airport chosen
    Lisbon Airport is the main international gateway to Portugal’s capital, serving as a major European hub for both traditional and low-cost airlines.
  • B. 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.
  • C. 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.
  • D. Rota International Airport
    Rota International Airport is a public airport serving the island of Rota in the Northern Mariana Islands, providing regional air connections within the western Pacific.
  • E. Coimbra Airport (aerodrome)
    Coimbra Airport (aerodrome) is a small regional airfield serving the city of Coimbra in central Portugal, primarily used for general aviation and charter flights rather than regular commercial airline services.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3c681148190a31c7e7ecb0d9478 completed April 19, 2026, 3:24 p.m.
Created at: April 8, 2026, 9:30 p.m.