Triple

T4427765
Position Surface form Disambiguated ID Type / Status
Subject Lake Thun E95249 entity
Predicate nearSettlement P3883 FINISHED
Object Faulensee
Faulensee is a lakeside village in the Swiss canton of Bern, situated on the southern shore of Lake Thun and known for its scenic Alpine setting.
 E445406 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: Faulensee | Statement: [Lake Thun, nearSettlement, Faulensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faulensee
Context triple: [Lake Thun, nearSettlement, Faulensee]
  • A. Küsnacht
    Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
  • B. Riehe
    Riehe is a small river in Lower Saxony, Germany, known as one of the tributaries feeding into the Innerste.
  • C. Adliswil
    Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
  • D. Kilchberg
    Kilchberg is a municipality on the shores of Lake Zurich in Switzerland, known for its scenic residential character and as the home of the Lindt & Sprüngli chocolate factory.
  • E. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • 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: Faulensee
Triple: [Lake Thun, nearSettlement, Faulensee]
Generated description
Faulensee is a lakeside village in the Swiss canton of Bern, situated on the southern shore of Lake Thun and known for its scenic Alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faulensee
Target entity description: Faulensee is a lakeside village in the Swiss canton of Bern, situated on the southern shore of Lake Thun and known for its scenic Alpine setting.
  • A. Küsnacht
    Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
  • B. Riehe
    Riehe is a small river in Lower Saxony, Germany, known as one of the tributaries feeding into the Innerste.
  • C. Adliswil
    Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
  • D. Kilchberg
    Kilchberg is a municipality on the shores of Lake Zurich in Switzerland, known for its scenic residential character and as the home of the Lindt & Sprüngli chocolate factory.
  • E. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355674d5481908bf2dfd611f3520f completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69badb1f4e248190909d29048b91c118 completed March 18, 2026, 5:04 p.m.
NEDg Description generation batch_69bb0ae2b4788190869e24f4edcfa681 completed March 18, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bb0b3cc7948190b0fa5afa5bc45a2e completed March 18, 2026, 8:29 p.m.
Created at: March 12, 2026, 11:30 p.m.