Triple
T22604918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surselva |
E566529
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Brigels
Brigels is a picturesque alpine village and ski resort in the canton of Graubünden in eastern Switzerland, known for its traditional architecture and scenic mountain landscapes.
|
E1544970
|
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: Brigels | Statement: [Surselva, contains, Brigels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brigels Context triple: [Surselva, contains, Brigels]
-
A.
Borgloon
Borgloon is a historic town in the Belgian province of Limburg that once served as the political and administrative center of the medieval County of Loon.
-
B.
Brixellum
Brixellum was an ancient Roman town in northern Italy, historically noted as the place where the emperor Otho died during the Year of the Four Emperors.
-
C.
Kleine Brogel
Kleine Brogel is a Belgian Air Component air base in northeastern Belgium known for hosting tactical fighter aircraft and reportedly U.S. nuclear weapons.
-
D.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
E.
Boningen
Boningen is a small municipality in the canton of Solothurn in Switzerland.
- 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: Brigels Triple: [Surselva, contains, Brigels]
Generated description
Brigels is a picturesque alpine village and ski resort in the canton of Graubünden in eastern Switzerland, known for its traditional architecture and scenic mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brigels Target entity description: Brigels is a picturesque alpine village and ski resort in the canton of Graubünden in eastern Switzerland, known for its traditional architecture and scenic mountain landscapes.
-
A.
Borgloon
Borgloon is a historic town in the Belgian province of Limburg that once served as the political and administrative center of the medieval County of Loon.
-
B.
Brixellum
Brixellum was an ancient Roman town in northern Italy, historically noted as the place where the emperor Otho died during the Year of the Four Emperors.
-
C.
Kleine Brogel
Kleine Brogel is a Belgian Air Component air base in northeastern Belgium known for hosting tactical fighter aircraft and reportedly U.S. nuclear weapons.
-
D.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
E.
Boningen
Boningen is a small municipality in the canton of Solothurn in Switzerland.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f162709d808190af83837104a190f9 |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d6a5c8c8190a5a1a599873066ac |
completed | May 18, 2026, 4:25 p.m. |
| NEDg | Description generation | batch_6a0b41c14f848190b063a01d6da21540 |
completed | May 18, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b42827a188190aa8ba7546c4fac77 |
completed | May 18, 2026, 4:46 p.m. |
Created at: April 17, 2026, 2:53 p.m.