Triple

T18345901
Position Surface form Disambiguated ID Type / Status
Subject St. Beatus Caves E439536 entity
Predicate near P350 FINISHED
Object Sundlauenen
Sundlauenen is a small lakeside village in the canton of Bern, Switzerland, situated on the shores of Lake Thun amid steep forested slopes and popular hiking and sightseeing areas.
E1326420 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: Sundlauenen | Statement: [St. Beatus Caves, near, Sundlauenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundlauenen
Context triple: [St. Beatus Caves, near, Sundlauenen]
  • A. Obergriesbach
    Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
  • B. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • C. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • D. Breidenbach
    Breidenbach is a municipality in the German state of Hesse, known for its rural setting near the Rothaar Mountains and proximity to the town of Bad Laasphe.
  • E. Breidenbach
    Breidenbach is a small town located in the German region of Westphalia.
  • 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: Sundlauenen
Triple: [St. Beatus Caves, near, Sundlauenen]
Generated description
Sundlauenen is a small lakeside village in the canton of Bern, Switzerland, situated on the shores of Lake Thun amid steep forested slopes and popular hiking and sightseeing areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sundlauenen
Target entity description: Sundlauenen is a small lakeside village in the canton of Bern, Switzerland, situated on the shores of Lake Thun amid steep forested slopes and popular hiking and sightseeing areas.
  • A. Obergriesbach
    Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
  • B. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • C. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • D. Breidenbach
    Breidenbach is a municipality in the German state of Hesse, known for its rural setting near the Rothaar Mountains and proximity to the town of Bad Laasphe.
  • E. Breidenbach
    Breidenbach is a small town located in the German region of Westphalia.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f3bb888190bdeea4c4d114a43b completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f1608a481908346a55cea8a06b2 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a044125f3c48190a872c88af616058b completed May 13, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a04417a05008190872c08af21286d4c completed May 13, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:37 a.m.