Triple

T18264253
Position Surface form Disambiguated ID Type / Status
Subject Vechigen E437440 entity
Predicate hasLocality P7943 FINISHED
Object Utzigen
Utzigen is a small village in the municipality of Vechigen in the canton of Bern, Switzerland.
 E1333880 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: Utzigen | Statement: [Vechigen, hasLocality, Utzigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Utzigen
Context triple: [Vechigen, hasLocality, Utzigen]
  • A. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • B. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • C. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Zauggenried
    Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • 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: Utzigen
Triple: [Vechigen, hasLocality, Utzigen]
Generated description
Utzigen is a small village in the municipality of Vechigen in the canton of Bern, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Utzigen
Target entity description: Utzigen is a small village in the municipality of Vechigen in the canton of Bern, Switzerland.
  • A. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • B. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • C. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Zauggenried
    Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • F. None of above. chosen

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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff78b188819081da8e1d389c6c79 completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05036a457481909ee7e4b1b8246797 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05076aaaf08190a1412e1801b65a77 completed May 13, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_6a05080e38488190aa619ec1f38f77de completed May 13, 2026, 11:23 p.m.
Created at: April 10, 2026, 10:34 a.m.