Triple
T15792053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maloja District |
E382883
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bever
Bever is a small Swiss alpine village and municipality in the canton of Graubünden, known for its traditional Engadine architecture and scenic mountain surroundings.
|
E1177577
|
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: Bever | Statement: [Maloja District, contains, Bever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bever Context triple: [Maloja District, contains, Bever]
-
A.
Bever
Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
-
B.
Bevin
Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
-
C.
Bever Dam
Bever Dam is one of the German dams targeted by the RAF's famous World War II "Dambusters" bombing raid in 1943.
-
D.
Beverle
Beverle "Bebe" Buell is an American model, singer, and former fashion icon known for her work in the 1970s and her connections to prominent rock musicians.
-
E.
Bevera
Bevera is a minor river in northern Italy that serves as a tributary of the Lambro.
- 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: Bever Triple: [Maloja District, contains, Bever]
Generated description
Bever is a small Swiss alpine village and municipality in the canton of Graubünden, known for its traditional Engadine architecture and scenic mountain surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bever Target entity description: Bever is a small Swiss alpine village and municipality in the canton of Graubünden, known for its traditional Engadine architecture and scenic mountain surroundings.
-
A.
Bever
Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
-
B.
Bevin
Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
-
C.
Bever Dam
Bever Dam is one of the German dams targeted by the RAF's famous World War II "Dambusters" bombing raid in 1943.
-
D.
Beverle
Beverle "Bebe" Buell is an American model, singer, and former fashion icon known for her work in the 1970s and her connections to prominent rock musicians.
-
E.
Bevera
Bevera is a minor river in northern Italy that serves as a tributary of the Lambro.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d9623081908496cdfdf86a078a |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90ab23048190a6d976c9a3143647 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93c259e481908d419c101512c140 |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9458a1388190bfb2b1ecbbf5ebdd |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.