Triple

T22940532
Position Surface form Disambiguated ID Type / Status
Subject Hörsching E569714 entity
Predicate hosts P186 FINISHED
Object Linz 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: Linz Airport | Statement: [Hörsching, hosts, Linz Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linz Airport
Context triple: [Hörsching, hosts, Linz Airport]
  • A. Linz Airport chosen
    Linz Airport is the main international airport serving the city of Linz and the surrounding Upper Austria region.
  • B. 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.
  • C. Graz Airport
    Graz Airport is an international airport in southeastern Austria serving the city of Graz and the surrounding Styria region.
  • D. Klagenfurt Airport
    Klagenfurt Airport is a regional international airport in Klagenfurt, Austria, serving as the primary air transport gateway to the federal state of Carinthia.
  • E. 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.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813844b88190b05d3829b0c423c4 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.