Triple

T15792176
Position Surface form Disambiguated ID Type / Status
Subject Nietzsche-Haus Sils Maria E382885 entity
Predicate near P350 FINISHED
Object St. Moritz E113674 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: St. Moritz | Statement: [Nietzsche-Haus Sils Maria, near, St. Moritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Moritz
Context triple: [Nietzsche-Haus Sils Maria, near, St. Moritz]
  • A. St. Moritz chosen
    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.
  • B. Gstaad
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
  • C. Arosa
    Arosa is a Swiss alpine resort town in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • D. Zermatt
    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.
  • E. Klosters
    Klosters is a renowned Swiss Alpine village and ski resort in the canton of Graubünden, popular for its picturesque scenery and winter sports.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d9623081908496cdfdf86a078a completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff28f63c88190968ecbd4706b1331 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:48 a.m.