Triple

T3356668
Position Surface form Disambiguated ID Type / Status
Subject Lake Zurich E70620 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
 E425405 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: Wädenswil | Statement: [Lake Zurich, hasShorelineSettlement, Wädenswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wädenswil
Context triple: [Lake Zurich, hasShorelineSettlement, Wädenswil]
  • A. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • B. 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.
  • C. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • D. Pratteln
    Pratteln is a municipality in northern Switzerland that serves as a major residential and industrial center in the canton of Basel-Landschaft.
  • E. Allschwil
    Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
  • 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: Wädenswil
Triple: [Lake Zurich, hasShorelineSettlement, Wädenswil]
Generated description
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wädenswil
Target entity description: Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
  • A. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • B. 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.
  • C. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • D. Pratteln
    Pratteln is a municipality in northern Switzerland that serves as a major residential and industrial center in the canton of Basel-Landschaft.
  • E. Allschwil
    Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a81fdf888190a4d9f75471b9ec39 completed March 14, 2026, 6:25 p.m.
NEDg Description generation batch_69b5a8ba67dc8190a5b3a809a060044b completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5b39a95f88190bf0af342e1c967eb completed March 14, 2026, 7:14 p.m.
Created at: March 8, 2026, 3:13 p.m.