Triple

T17367903
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Turtmann-Unterems 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: Turtmann-Unterems | Statement: [Visp District, contains, Turtmann-Unterems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turtmann-Unterems
Context triple: [Visp District, contains, Turtmann-Unterems]
  • A. Untergriesbach
    Untergriesbach is a market town in Lower Bavaria, Germany, situated near the Danube River close to the Austrian border.
  • B. Niederwerrn
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Dettelbach
    Dettelbach is a small historic town in the Franconian wine-growing region of northern Bavaria, Germany, known for its medieval architecture and surrounding vineyards.
  • D. Villenbach
    Villenbach is a small municipality in the Bavarian region of southern Germany.
  • E. Gosau
    Gosau is a picturesque alpine village in Austria’s Salzkammergut region, known for its dramatic mountain scenery, traditional rural character, and proximity to the Dachstein massif.
  • 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: Turtmann-Unterems
Triple: [Visp District, contains, Turtmann-Unterems]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turtmann-Unterems
Target entity description: Turtmann-Unterems is a municipality in the canton of Valais in southwestern Switzerland, formed by the merger of the former municipalities of Turtmann and Unterems.
  • A. Untergriesbach
    Untergriesbach is a market town in Lower Bavaria, Germany, situated near the Danube River close to the Austrian border.
  • B. Niederwerrn
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Dettelbach
    Dettelbach is a small historic town in the Franconian wine-growing region of northern Bavaria, Germany, known for its medieval architecture and surrounding vineyards.
  • D. Villenbach
    Villenbach is a small municipality in the Bavarian region of southern Germany.
  • E. Gosau
    Gosau is a picturesque alpine village in Austria’s Salzkammergut region, known for its dramatic mountain scenery, traditional rural character, and proximity to the Dachstein massif.
  • 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.