Triple

T16894308
Position Surface form Disambiguated ID Type / Status
Subject Interlaken-Oberhasli administrative district E424257 entity
Predicate contains P35 FINISHED
Object Beatenberg
Beatenberg is a Swiss alpine village in the canton of Bern known for its panoramic views over Lake Thun and the surrounding Bernese Alps.
E1248852 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: Beatenberg | Statement: [Interlaken-Oberhasli administrative district, contains, Beatenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beatenberg
Context triple: [Interlaken-Oberhasli administrative district, contains, Beatenberg]
  • A. Herisau
    Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
  • B. Leuchtenberg
    Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
  • C. Breiberge
    Breiberge is a hill or small mountain located within Germany’s Siebengebirge range, a volcanic upland near the Rhine River.
  • D. Tapfheim
    Tapfheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • E. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • 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: Beatenberg
Triple: [Interlaken-Oberhasli administrative district, contains, Beatenberg]
Generated description
Beatenberg is a Swiss alpine village in the canton of Bern known for its panoramic views over Lake Thun and the surrounding Bernese Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beatenberg
Target entity description: Beatenberg is a Swiss alpine village in the canton of Bern known for its panoramic views over Lake Thun and the surrounding Bernese Alps.
  • A. Herisau
    Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
  • B. Leuchtenberg
    Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
  • C. Breiberge
    Breiberge is a hill or small mountain located within Germany’s Siebengebirge range, a volcanic upland near the Rhine River.
  • D. Tapfheim
    Tapfheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • E. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ecafd908190b8a1513138a29303 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fbc129881909edd92be2d8700a3 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a01301a4fbc8190bbd5b5b9bad814d3 completed May 11, 2026, 1:25 a.m.
Created at: April 10, 2026, 5:29 a.m.