Triple

T12967481
Position Surface form Disambiguated ID Type / Status
Subject Klagenfurt E321299 entity
Predicate hasAirport P105 FINISHED
Object Klagenfurt Airport E475123 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: Klagenfurt Airport | Statement: [Klagenfurt, hasAirport, Klagenfurt Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klagenfurt Airport
Context triple: [Klagenfurt, hasAirport, Klagenfurt Airport]
  • A. Klagenfurt Airport chosen
    Klagenfurt Airport is a regional international airport in Klagenfurt, Austria, serving as the primary air transport gateway to the federal state of Carinthia.
  • B. Graz Airport
    Graz Airport is an international airport in southeastern Austria serving the city of Graz and the surrounding Styria region.
  • C. Linz Airport
    Linz Airport is the main international airport serving the city of Linz and the surrounding Upper Austria region.
  • D. Innsbruck Airport
    Innsbruck Airport is a regional international airport in western Austria serving the city of Innsbruck and the surrounding Tyrolean Alps, known for its challenging approach amid mountainous terrain and seasonal tourism traffic.
  • E. Salzburg Airport
    Salzburg Airport is an international airport in western Austria serving the city of Salzburg and the surrounding region, including nearby towns such as Anif.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e4e1a48190b8f7253717746295 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:31 p.m.