Triple

T12984005
Position Surface form Disambiguated ID Type / Status
Subject Jönköping Airport E321720 entity
Predicate operator P179 FINISHED
Object Jönköping Airport AB E321720 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: Jönköping Airport AB | Statement: [Jönköping Airport, operator, Jönköping Airport AB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jönköping Airport AB
Context triple: [Jönköping Airport, operator, Jönköping Airport AB]
  • A. Jönköping Airport chosen
    Jönköping Airport is a regional airport in southern Sweden serving the city of Jönköping with domestic and limited international flights.
  • B. Norrköping Airport
    Norrköping Airport is a regional airport in Norrköping, Sweden, serving domestic and limited international flights for the surrounding area.
  • C. Skövde Airport
    Skövde Airport is a small regional airport serving the town of Skövde in Västra Götaland County, Sweden.
  • D. Linköping City Airport
    Linköping City Airport is a regional airport in Linköping, Sweden, serving both commercial passenger flights and general aviation.
  • E. 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.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5e3f208190abd2d4b4d5114834 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f4320881909d66eaa48f888fab completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:39 p.m.