Triple

T18264256
Position Surface form Disambiguated ID Type / Status
Subject Vechigen E437440 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Muri bei Bern 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: Muri bei Bern | Statement: [Vechigen, neighboringMunicipality, Muri bei Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muri bei Bern
Context triple: [Vechigen, neighboringMunicipality, Muri bei Bern]
  • A. Muri bei Bern chosen
    Muri bei Bern is a suburban municipality in the canton of Bern, Switzerland, known for its residential character and proximity to the city of Bern.
  • B. Muri, Aargau
    Muri, Aargau is a municipality in the Swiss canton of Aargau known for its historic Benedictine monastery and picturesque setting in the Reuss valley.
  • C. Murten
    Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
  • D. Regensdorf
    Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
  • E. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff78b188819081da8e1d389c6c79 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.