Triple

T20204104
Position Surface form Disambiguated ID Type / Status
Subject Schönried E493302 entity
Predicate hasNearbyResort P3449 FINISHED
Object Saanenmöser
Saanenmöser is a Swiss alpine village and ski resort in the Bernese Oberland, known for its scenic mountain landscapes and winter sports facilities.
E483742 NE FINISHED

How this triple was built (4 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: Saanenmöser | Statement: [Schönried, hasNearbyResort, Saanenmöser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saanenmöser
Context triple: [Schönried, hasNearbyResort, Saanenmöser]
  • A. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • B. Wyssachen
    Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • C. Ruetz
    Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
  • D. Saanen
    Saanen is a picturesque Swiss village in the Bernese Oberland known for its traditional chalets, alpine scenery, and proximity to the upscale resort town of Gstaad.
  • E. Nätschen
    Nätschen is a Swiss alpine area above Andermatt known for its ski slopes, hiking trails, and panoramic views of the Ursern Valley.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saanenmöser
Triple: [Schönried, hasNearbyResort, Saanenmöser]
Generated description
Saanenmöser is a Swiss alpine village and ski resort in the Bernese Oberland, known for its scenic mountain landscapes and winter sports facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saanenmöser
Target entity description: Saanenmöser is a Swiss alpine village and ski resort in the Bernese Oberland, known for its scenic mountain landscapes and winter sports facilities.
  • A. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • B. Wyssachen
    Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • C. Ruetz
    Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
  • D. Saanen chosen
    Saanen is a picturesque Swiss village in the Bernese Oberland known for its traditional chalets, alpine scenery, and proximity to the upscale resort town of Gstaad.
  • E. Nätschen
    Nätschen is a Swiss alpine area above Andermatt known for its ski slopes, hiking trails, and panoramic views of the Ursern Valley.
  • F. None of above.

Provenance (5 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8f90108190b72e37c0056de0f8 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a13ad708190bcbc91babdc4085b completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085c72c81c8190bbe3c42b5832900c completed May 16, 2026, noon
NED2 Entity disambiguation (via description) batch_6a085cea59008190904995df11f6578d completed May 16, 2026, 12:02 p.m.
Created at: April 11, 2026, 11:38 p.m.