Triple

T20789884
Position Surface form Disambiguated ID Type / Status
Subject SZG E511744 entity
Predicate represents P129 FINISHED
Object Salzburg 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: Salzburg Airport | Statement: [SZG, represents, Salzburg Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzburg Airport
Context triple: [SZG, represents, Salzburg Airport]
  • A. Salzburg Airport chosen
    Salzburg Airport is an international airport in western Austria serving the city of Salzburg and the surrounding region, including nearby towns such as Anif.
  • B. Linz Airport
    Linz Airport is the main international airport serving the city of Linz and the surrounding Upper Austria region.
  • C. Vienna International Airport
    Vienna International Airport is Austria’s largest and busiest airport, serving as the primary international gateway to Vienna and a major hub for Central and Eastern Europe.
  • 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. Graz Airport
    Graz Airport is an international airport in southeastern Austria serving the city of Graz and the surrounding Styria region.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28f0e1081909f18dddfc6ec084c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.