Triple
T3927739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern metropolitan area |
E93317
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Belp
Belp is a municipality in the canton of Bern in Switzerland, situated near the city of Bern and known for hosting Bern Airport.
|
E399788
|
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: Belp | Statement: [Bern metropolitan area, contains, Belp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belp Context triple: [Bern metropolitan area, contains, Belp]
-
A.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
B.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
C.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
D.
Tremezzo
Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
-
E.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
- 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: Belp Triple: [Bern metropolitan area, contains, Belp]
Generated description
Belp is a municipality in the canton of Bern in Switzerland, situated near the city of Bern and known for hosting Bern Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belp Target entity description: Belp is a municipality in the canton of Bern in Switzerland, situated near the city of Bern and known for hosting Bern Airport.
-
A.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
B.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
C.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
D.
Tremezzo
Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
-
E.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda4f9d481908dda1b5a826ab64d |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5287b8d548190a929f14637cb9963 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b529ad13d48190995ed79d3c41a69b |
completed | March 14, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52a5274ec8190b481a2627e94addb |
completed | March 14, 2026, 9:28 a.m. |
Created at: March 9, 2026, 3:23 p.m.