Triple
T6581150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riksmålsforbundet |
E157298
|
entity |
| Predicate | awards |
P11
|
FINISHED |
| Object |
Lytterprisen
Lytterprisen is a Norwegian language and broadcasting award presented by Riksmålsforbundet to honor exemplary use of the Norwegian language in radio and audio media.
|
E605231
|
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: Lytterprisen | Statement: [Riksmålsforbundet, awards, Lytterprisen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lytterprisen Context triple: [Riksmålsforbundet, awards, Lytterprisen]
-
A.
The little Nobel
The little Nobel is an informal nickname for the prestigious Nordic Prize, often seen as a regional counterpart to the Nobel Prize.
-
B.
Tivoli Friheden
Tivoli Friheden is an amusement park and recreational attraction located in Aarhus, Denmark.
-
C.
The Winner
The Winner is a suspense thriller novel by David Baldacci about a young woman entangled in a deadly conspiracy after being offered a rigged lottery win.
-
D.
Vinderen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
-
E.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
- 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: Lytterprisen Triple: [Riksmålsforbundet, awards, Lytterprisen]
Generated description
Lytterprisen is a Norwegian language and broadcasting award presented by Riksmålsforbundet to honor exemplary use of the Norwegian language in radio and audio media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lytterprisen Target entity description: Lytterprisen is a Norwegian language and broadcasting award presented by Riksmålsforbundet to honor exemplary use of the Norwegian language in radio and audio media.
-
A.
The little Nobel
The little Nobel is an informal nickname for the prestigious Nordic Prize, often seen as a regional counterpart to the Nobel Prize.
-
B.
Sonningprisen
Sonningprisen is a prestigious Danish award given biennially to individuals who have made outstanding contributions to European culture.
-
C.
Tivoli Friheden
Tivoli Friheden is an amusement park and recreational attraction located in Aarhus, Denmark.
-
D.
The Winner
The Winner is a suspense thriller novel by David Baldacci about a young woman entangled in a deadly conspiracy after being offered a rigged lottery win.
-
E.
Vinderen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae90c1b081908f851bff1dd19855 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d9817b708190a3a66d40996cf2a1 |
completed | March 27, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6daaa4be88190a07823df9427d2d5 |
completed | March 27, 2026, 7:29 p.m. |
Created at: March 27, 2026, 1:54 p.m.