Triple
T20679678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Match AB |
E508256
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Göteborgs Rapé
Göteborgs Rapé is a traditional Swedish snus brand known for its mild tobacco character and distinctive herbal and floral flavor profile.
|
E1444021
|
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: Göteborgs Rapé | Statement: [Swedish Match AB, brand, Göteborgs Rapé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göteborgs Rapé Context triple: [Swedish Match AB, brand, Göteborgs Rapé]
-
A.
Bøler
Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
-
B.
Rapée
Rapée is a surname most notably associated with Ernö Rapée, a prominent early 20th-century conductor and film music composer.
-
C.
Manilla Palace
Manilla Palace is a historic waterfront residence on Djurgården in Stockholm, known for its royal connections and scenic park setting.
-
D.
Bergkvist
Bergkvist is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
E.
El Guettar
El Guettar is a town in southern Tunisia known historically as the site of a major World War II battle between Allied and Axis forces.
- 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: Göteborgs Rapé Triple: [Swedish Match AB, brand, Göteborgs Rapé]
Generated description
Göteborgs Rapé is a traditional Swedish snus brand known for its mild tobacco character and distinctive herbal and floral flavor profile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Göteborgs Rapé Target entity description: Göteborgs Rapé is a traditional Swedish snus brand known for its mild tobacco character and distinctive herbal and floral flavor profile.
-
A.
Bøler
Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
-
B.
Rapée
Rapée is a surname most notably associated with Ernö Rapée, a prominent early 20th-century conductor and film music composer.
-
C.
Manilla Palace
Manilla Palace is a historic waterfront residence on Djurgården in Stockholm, known for its royal connections and scenic park setting.
-
D.
Bergkvist
Bergkvist is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
E.
El Guettar
El Guettar is a town in southern Tunisia known historically as the site of a major World War II battle between Allied and Axis forces.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea516b88190b3e90d03fa981a44 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6cb9f88190a3bdd3d353b78eb0 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.