Triple
T3356665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Zurich |
E70620
|
entity |
| Predicate | hasShorelineSettlement |
P969
|
FINISHED |
| Object |
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
|
E350845
|
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: Küsnacht | Statement: [Lake Zurich, hasShorelineSettlement, Küsnacht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Küsnacht Context triple: [Lake Zurich, hasShorelineSettlement, Küsnacht]
-
A.
Zuchwil
Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
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.
Kreuzlingen
Kreuzlingen is a Swiss town in the canton of Thurgau, located on the southern shore of Lake Constance near the German border.
-
D.
Selzach
Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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: Küsnacht Triple: [Lake Zurich, hasShorelineSettlement, Küsnacht]
Generated description
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Küsnacht Target entity description: Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
A.
Zuchwil
Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
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.
Kreuzlingen
Kreuzlingen is a Swiss town in the canton of Thurgau, located on the southern shore of Lake Constance near the German border.
-
D.
Selzach
Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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_69b3253b03e8819082a5bf5bd5c5d5cb |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325ffdef081909b9665468f305336 |
completed | March 12, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b32714d57c8190a59619dfab19656f |
completed | March 12, 2026, 8:50 p.m. |
Created at: March 8, 2026, 3:13 p.m.