Triple

T17367907
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Eggerberg — NE ONDG

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: Eggerberg | Statement: [Visp District, contains, Eggerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eggerberg
Context triple: [Visp District, contains, Eggerberg]
  • A. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • B. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • C. Grüner-Hegge
    Grüner-Hegge is the surname of Norwegian conductor and composer Odd Grüner-Hegge, known for his contributions to 20th-century classical music in Norway.
  • D. Elsterberg
    Elsterberg is a small town in the Vogtland region of Saxony, Germany, known for its historic castle ruins and scenic location along the White Elster River.
  • E. Enberg
    Enberg is a surname most notably associated with American sportscaster Dick Enberg, renowned for his long career covering major sporting events on television and radio.
  • 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: Eggerberg
Triple: [Visp District, contains, Eggerberg]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eggerberg
Target entity description: Eggerberg is a small Swiss municipality in the canton of Valais, known for its hillside location above the Rhône valley and views of the surrounding Alps.
  • A. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • B. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • C. Grüner-Hegge
    Grüner-Hegge is the surname of Norwegian conductor and composer Odd Grüner-Hegge, known for his contributions to 20th-century classical music in Norway.
  • D. Elsterberg
    Elsterberg is a small town in the Vogtland region of Saxony, Germany, known for its historic castle ruins and scenic location along the White Elster River.
  • E. Enberg
    Enberg is a surname most notably associated with American sportscaster Dick Enberg, renowned for his long career covering major sporting events on television and radio.
  • F. None of above. chosen

Provenance (4 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 in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.