Triple

T20483255
Position Surface form Disambiguated ID Type / Status
Subject Salzburger Land E502517 entity
Predicate tourismRegion P3030 FINISHED
Object Zell am See–Kaprun E1383037 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: Zell am See–Kaprun | Statement: [Salzburger Land, tourismRegion, Zell am See–Kaprun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zell am See–Kaprun
Context triple: [Salzburger Land, tourismRegion, Zell am See–Kaprun]
  • A. Zell am See
    Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
  • B. Zell am Ziller
    Zell am Ziller is a Tyrolean village in Austria known as a popular base for skiing and outdoor activities in the Zillertal Alps.
  • C. Zell am See–Kaprun ski area chosen
    The Zell am See–Kaprun ski area is a popular Austrian alpine resort region known for its extensive ski slopes, glacier skiing on the Kitzsteinhorn, and scenic views over Lake Zell.
  • D. Mayrhofen
    Mayrhofen is a popular Austrian alpine resort town known for skiing, hiking, and access to the Zillertal Alps.
  • E. Igls
    Igls is an Austrian alpine village near Innsbruck known for its winter sports facilities and role in hosting Olympic events.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd474d488190936ea776ee43f50c completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:34 a.m.