Triple

T15124210
Position Surface form Disambiguated ID Type / Status
Subject Växjö Småland Airport E361243 entity
Predicate hasOfficialName P66 FINISHED
Object Växjö Småland Airport E361243 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: Växjö Småland Airport | Statement: [Växjö Småland Airport, hasOfficialName, Växjö Småland Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Växjö Småland Airport
Context triple: [Växjö Småland Airport, hasOfficialName, Växjö Småland Airport]
  • A. Växjö Småland Airport chosen
    Växjö Småland Airport is a regional airport in southern Sweden serving the city of Växjö and the surrounding Småland region with domestic and international flights.
  • B. Skövde Airport
    Skövde Airport is a small regional airport serving the town of Skövde in Västra Götaland County, Sweden.
  • C. Jönköping Airport
    Jönköping Airport is a regional airport in southern Sweden serving the city of Jönköping with domestic and limited international flights.
  • D. Norrköping Airport
    Norrköping Airport is a regional airport in Norrköping, Sweden, serving domestic and limited international flights for the surrounding area.
  • E. 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.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.