Triple
T747727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernese Alps |
E15379
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mürren
Mürren is a traditional, car-free mountain village and popular ski resort perched high above the Lauterbrunnen Valley in the Swiss Bernese Alps.
|
E102976
|
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: Mürren | Statement: [Bernese Alps, contains, Mürren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mürren Context triple: [Bernese Alps, contains, Mürren]
-
A.
Wengen
Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
-
B.
Saas-Fee
Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
-
C.
Meyrin
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
D.
Verbier
Verbier is a renowned Swiss alpine village and ski resort in the canton of Valais, famous for its extensive slopes, off-piste terrain, and vibrant après-ski scene.
-
E.
Crans-Montana
Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
- 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: Mürren Triple: [Bernese Alps, contains, Mürren]
Generated description
Mürren is a traditional, car-free mountain village and popular ski resort perched high above the Lauterbrunnen Valley in the Swiss Bernese Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mürren Target entity description: Mürren is a traditional, car-free mountain village and popular ski resort perched high above the Lauterbrunnen Valley in the Swiss Bernese Alps.
-
A.
Wengen
Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
-
B.
Saas-Fee
Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
-
C.
Meyrin
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
D.
Verbier
Verbier is a renowned Swiss alpine village and ski resort in the canton of Valais, famous for its extensive slopes, off-piste terrain, and vibrant après-ski scene.
-
E.
Crans-Montana
Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83948b48190af0349dd73ec3951 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b99c19fc819090e0f9a042a8c12c |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba44b79c8190b0ce8a430fe928e5 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:37 p.m.