Triple
T17919364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuenegg |
E448024
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Laupen
Laupen is a small Swiss municipality in the canton of Bern, known for its historic old town and strategic location at the confluence of the Sense and Saane rivers.
|
E1297146
|
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: Laupen | Statement: [Neuenegg, hasNeighboringMunicipality, Laupen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laupen Context triple: [Neuenegg, hasNeighboringMunicipality, Laupen]
-
A.
Gaupen
Gaupen is a small village in Ringsaker Municipality in Innlandet county, Norway.
-
B.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
C.
Rätikon
Rätikon is a mountain range in the Central Eastern Alps, spanning parts of Switzerland, Liechtenstein, and Austria, known for its rugged limestone peaks and popular hiking and climbing routes.
-
D.
Morhet
Morhet is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
-
E.
Rossikon
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
- 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: Laupen Triple: [Neuenegg, hasNeighboringMunicipality, Laupen]
Generated description
Laupen is a small Swiss municipality in the canton of Bern, known for its historic old town and strategic location at the confluence of the Sense and Saane rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laupen Target entity description: Laupen is a small Swiss municipality in the canton of Bern, known for its historic old town and strategic location at the confluence of the Sense and Saane rivers.
-
A.
Gaupen
Gaupen is a small village in Ringsaker Municipality in Innlandet county, Norway.
-
B.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
C.
Rätikon
Rätikon is a mountain range in the Central Eastern Alps, spanning parts of Switzerland, Liechtenstein, and Austria, known for its rugged limestone peaks and popular hiking and climbing routes.
-
D.
Morhet
Morhet is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
-
E.
Rossikon
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30844548190b7a43c2f093f35d7 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032130dc1c819082168b89a41043e2 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0325567708819081ede6f64fec5035 |
completed | May 12, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03268624308190b80666dbcc527619 |
completed | May 12, 2026, 1:09 p.m. |
Created at: April 10, 2026, 10:20 a.m.