Triple
T18213705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraubrunnen |
E436096
|
entity |
| Predicate | hasMunicipalityMerger |
P80558
|
FINISHED |
| Object |
Zauggenried
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
|
E1318629
|
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: Zauggenried | Statement: [Fraubrunnen, hasMunicipalityMerger, Zauggenried]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zauggenried Context triple: [Fraubrunnen, hasMunicipalityMerger, Zauggenried]
-
A.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
B.
Bollschweil
Bollschweil is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau in the scenic Breisgau area at the edge of the Black Forest.
-
C.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
D.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
E.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
- 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: Zauggenried Triple: [Fraubrunnen, hasMunicipalityMerger, Zauggenried]
Generated description
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zauggenried Target entity description: Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
A.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
B.
Bollschweil
Bollschweil is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau in the scenic Breisgau area at the edge of the Black Forest.
-
C.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
D.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
E.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e475953c81909f792793ded2057e |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4b2915c819080678dbcd0558e65 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c582c9fc8190a656bb9e5544b5cf |
completed | May 13, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c64c02288190903c7e9123ca5a79 |
completed | May 13, 2026, 12:31 a.m. |
Created at: April 10, 2026, 10:32 a.m.