Triple

T17367927
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Ferden
Ferden is a small alpine municipality in the canton of Valais in southwestern Switzerland, known for its mountainous scenery and traditional Swiss village character.
E1264421 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: Ferden | Statement: [Visp District, contains, Ferden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferden
Context triple: [Visp District, contains, Ferden]
  • A. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • B. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • C. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • D. Fer
    Fer is a common shortened form of the given name Fernanda, often used as a casual or affectionate nickname.
  • E. Ferdl
    Ferdl is a German diminutive form of the male given name Ferdinand, commonly used as an affectionate nickname.
  • 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: Ferden
Triple: [Visp District, contains, Ferden]
Generated description
Ferden is a small alpine municipality in the canton of Valais in southwestern Switzerland, known for its mountainous scenery and traditional Swiss village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ferden
Target entity description: Ferden is a small alpine municipality in the canton of Valais in southwestern Switzerland, known for its mountainous scenery and traditional Swiss village character.
  • A. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • B. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • C. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • D. Fer
    Fer is a common shortened form of the given name Fernanda, often used as a casual or affectionate nickname.
  • E. Ferdl
    Ferdl is a German diminutive form of the male given name Ferdinand, commonly used as an affectionate nickname.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f completed May 11, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a019b830ce88190a2634e37e399d375 completed May 11, 2026, 9:04 a.m.
Created at: April 10, 2026, 5:44 a.m.