Triple

T17367926
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Blatten (Lötschen) — 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: Blatten (Lötschen) | Statement: [Visp District, contains, Blatten (Lötschen)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blatten (Lötschen)
Context triple: [Visp District, contains, Blatten (Lötschen)]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Bollingen
    Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
  • C. Flüelen
    Flüelen is a Swiss lakeside village in the canton of Uri, situated at the southern end of Lake Lucerne and known as a transport hub and gateway to the Gotthard region.
  • D. Zweilütschinen
    Zweilütschinen is a small Swiss village in the Bernese Oberland, known as a key railway junction and gateway to the Lauterbrunnen and Grindelwald valleys.
  • E. Spreitenbach
    Spreitenbach is a municipality in the canton of Aargau in northern Switzerland, known for its large shopping centers and proximity to the city of Zurich.
  • 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: Blatten (Lötschen)
Triple: [Visp District, contains, Blatten (Lötschen)]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blatten (Lötschen)
Target entity description: Blatten (Lötschen) is a small alpine village and municipality in the canton of Valais, Switzerland, known as a gateway to the Lötschental valley and surrounding mountain landscapes.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Bollingen
    Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
  • C. Flüelen
    Flüelen is a Swiss lakeside village in the canton of Uri, situated at the southern end of Lake Lucerne and known as a transport hub and gateway to the Gotthard region.
  • D. Zweilütschinen
    Zweilütschinen is a small Swiss village in the Bernese Oberland, known as a key railway junction and gateway to the Lauterbrunnen and Grindelwald valleys.
  • E. Spreitenbach
    Spreitenbach is a municipality in the canton of Aargau in northern Switzerland, known for its large shopping centers and proximity to the city of Zurich.
  • 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.