Triple

T6273108
Position Surface form Disambiguated ID Type / Status
Subject Vágar Airport E140585 entity
Predicate has scheduled flights to P19814 FINISHED
Object Copenhagen Airport E67497 NE FINISHED

How this triple was built (3 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: Copenhagen Airport | Statement: [Vágar Airport, has scheduled flights to, Copenhagen Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen Airport
Context triple: [Vágar Airport, has scheduled flights to, Copenhagen Airport]
  • A. Copenhagen Airport Kastrup chosen
    Copenhagen Airport Kastrup is Denmark’s largest and busiest international airport, serving as the main air hub for Copenhagen and much of Scandinavia.
  • B. Bern Airport
    Bern Airport is a small regional airport in Switzerland serving the city of Bern and offering domestic and limited international flights.
  • C. Aarhus Airport
    Aarhus Airport is a regional international airport serving the city of Aarhus and the surrounding area in eastern Jutland, Denmark.
  • D. Aalborg Airport
    Aalborg Airport is an international airport in northern Denmark serving the city of Aalborg and the surrounding region with domestic and European flights.
  • E. Bornholm Airport
    Bornholm Airport is the main regional airport serving the Danish island of Bornholm, providing domestic and limited international connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: has scheduled flights to
Context triple: [Vágar Airport, has scheduled flights to, Copenhagen Airport]
  • A. hasScheduledFlights chosen
    Indicates that there are one or more flights planned and set to occur between the related entities according to a schedule.
  • B. operatesFlightsTo
    Indicates that one entity (typically an airline) runs or provides flight services to the location represented by the other entity.
  • C. performedFlightTo
    Indicates that an entity (such as an aircraft or airline) carried out a flight whose destination was a specified location.
  • D. numberOfFlights
    Indicates the total count of flights associated with a given entity or within a specified context.
  • E. hasTypeOfFlights
    Indicates that an entity offers, includes, or is associated with specific categories or kinds of flights.
  • F. None of above.

Provenance (4 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063be5a148190a8752426d2d220f8 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446ad060819094acd817ba5eadc9 completed March 24, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69c05606fb50819082d1a5a91e5030b6 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:25 p.m.