Triple

T19589594
Position Surface form Disambiguated ID Type / Status
Subject Wildstrubel E470195 entity
Predicate nearestLocality P21721 FINISHED
Object Lenk im Simmental E1371264 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: Lenk im Simmental | Statement: [Wildstrubel, nearestLocality, Lenk im Simmental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenk im Simmental
Context triple: [Wildstrubel, nearestLocality, Lenk im Simmental]
  • A. Lenk im Simmental chosen
    Lenk im Simmental is a Swiss alpine village and resort in the Bernese Oberland, known for its scenic mountain landscapes and outdoor recreation opportunities.
  • B. Langnau im Emmental
    Langnau im Emmental is a municipality in the Emmental region of the canton of Bern in Switzerland, known for its rural landscape, traditional Swiss architecture, and role as a local transport and commercial hub.
  • C. Sachseln
    Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
  • D. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • E. Lohn-Ammannsegg
    Lohn-Ammannsegg is a municipality in the canton of Solothurn in Switzerland, known for its residential character and proximity to the city of Solothurn.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64054299481908d83c85cefdab075 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1514e48190b3d4cba9663a5de0 completed May 15, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:43 p.m.