Triple

T5168309
Position Surface form Disambiguated ID Type / Status
Subject Institut Le Rosey E116612 entity
Predicate campus P269 FINISHED
Object Gstaad winter campus E111663 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: Gstaad winter campus | Statement: [Institut Le Rosey, campus, Gstaad winter campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gstaad winter campus
Context triple: [Institut Le Rosey, campus, Gstaad winter campus]
  • A. Gstaad chosen
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
  • B. Hönggerberg campus
    Hönggerberg campus is ETH Zurich’s modern science and technology campus on a hill above Zurich, hosting major research facilities, laboratories, and student housing.
  • 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. Ischgl
    Ischgl is a popular Austrian ski resort town in the Paznaun Valley, renowned for its extensive slopes and lively après-ski scene.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794b87508190be3b82726ef4b37c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93f33ac8190b2f60a8e95685bc8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.