Triple
T16912881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albula Alps |
E410244
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Savognin
Savognin is a Swiss mountain village and ski resort in the canton of Graubünden, known for its alpine scenery and outdoor recreation.
|
E1241166
|
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: Savognin | Statement: [Albula Alps, containsTown, Savognin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savognin Context triple: [Albula Alps, containsTown, Savognin]
-
A.
Grisons
Grisons is the largest and easternmost canton of Switzerland, known for its mountainous Alpine landscapes and multilingual culture (German, Romansh, and Italian).
-
B.
Lia Rumantscha
Lia Rumantscha is the main organization dedicated to promoting, standardizing, and preserving the Romansh language in Switzerland.
-
C.
Luzech
Luzech is a commune in southwestern France known for its scenic location on a tight meander of the Lot River and its surrounding vineyards and historic sites.
-
D.
Glarus
Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
-
E.
Valdôtain
Valdôtain is a Franco-Provençal (Arpitan) dialect traditionally spoken by the inhabitants of Italy’s Aosta Valley.
- 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: Savognin Triple: [Albula Alps, containsTown, Savognin]
Generated description
Savognin is a Swiss mountain village and ski resort in the canton of Graubünden, known for its alpine scenery and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savognin Target entity description: Savognin is a Swiss mountain village and ski resort in the canton of Graubünden, known for its alpine scenery and outdoor recreation.
-
A.
Grisons
Grisons is the largest and easternmost canton of Switzerland, known for its mountainous Alpine landscapes and multilingual culture (German, Romansh, and Italian).
-
B.
Lia Rumantscha
Lia Rumantscha is the main organization dedicated to promoting, standardizing, and preserving the Romansh language in Switzerland.
-
C.
Luzech
Luzech is a commune in southwestern France known for its scenic location on a tight meander of the Lot River and its surrounding vineyards and historic sites.
-
D.
Glarus
Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
-
E.
Valdôtain
Valdôtain is a Franco-Provençal (Arpitan) dialect traditionally spoken by the inhabitants of Italy’s Aosta Valley.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd0ff2881908686678daab46664 |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d0a0852c8190991af93d50fa2216 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d14b83d88190b3dbc124d5b33029 |
completed | May 10, 2026, 6:41 p.m. |
Created at: April 10, 2026, 5:30 a.m.