Triple

T21052970
Position Surface form Disambiguated ID Type / Status
Subject ESSV E518635 entity
Predicate airportName P4100 FINISHED
Object Visby 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: Visby Airport | Statement: [ESSV, airportName, Visby Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visby Airport
Context triple: [ESSV, airportName, Visby Airport]
  • A. Visby Airport chosen
    Visby Airport is the main commercial airport serving the island of Gotland in Sweden, handling domestic and seasonal international flights.
  • B. Kalmar Öland Airport
    Kalmar Öland Airport is a regional airport in southeastern Sweden serving the city of Kalmar and the nearby island of Öland with domestic and limited international flights.
  • C. Halmstad City Airport
    Halmstad City Airport is a regional airport in Halmstad, Sweden, serving domestic flights and limited international traffic for the surrounding Halland region.
  • D. Örnsköldsvik Airport
    Örnsköldsvik Airport is a regional airport in northern Sweden that serves the town of Örnsköldsvik and surrounding areas with domestic flights and air transport services.
  • E. Jönköping Airport
    Jönköping Airport is a regional airport in southern Sweden serving the city of Jönköping with domestic and limited international flights.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7cabe881909e6b258a14d501a6 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.