Triple

T19589531
Position Surface form Disambiguated ID Type / Status
Subject Frutigen-Niedersimmental E470193 entity
Predicate containsMunicipality P852 FINISHED
Object Wimmis NE NERFINISHED

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: Wimmis | Statement: [Frutigen-Niedersimmental, containsMunicipality, Wimmis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimmis
Context triple: [Frutigen-Niedersimmental, containsMunicipality, Wimmis]
  • A. Wimmis chosen
    Wimmis is a Swiss municipality in the canton of Bern, known as a gateway to the Simmental and Kandertal valleys and for its historic castle overlooking the village.
  • B. Kriens
    Kriens is a Swiss town and municipality located near Lucerne, known as a residential and industrial suburb at the foot of Mount Pilatus.
  • C. Torgler
    Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
  • D. Uttwil
    Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • E. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 1:43 p.m.