Triple

T4680253
Position Surface form Disambiguated ID Type / Status
Subject Sion Airport E103780 entity
Predicate near P350 FINISHED
Object ski resort of Zermatt E83847 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: ski resort of Zermatt | Statement: [Sion Airport, near, ski resort of Zermatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ski resort of Zermatt
Context triple: [Sion Airport, near, ski resort of Zermatt]
  • A. Saas-Fee
    Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
  • B. Zermatt chosen
    Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
  • C. St. Moritz
    St. Moritz is a famous Swiss alpine resort town renowned for its luxury tourism, winter sports, and role as a two-time Winter Olympics host.
  • D. Andermatt
    Andermatt is a Swiss Alpine village and ski resort in the canton of Uri, known as a major mountain transport hub and tourist destination.
  • E. Engelberg, Switzerland
    Engelberg, Switzerland is a mountain resort village in the Swiss canton of Obwalden, renowned for its skiing, hiking, and alpine scenery.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636c105081908655ab384f539f38 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a8b7a88190bfc4f68438694995 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.