Triple
T6579514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonning Prize |
E157255
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Sonningprisen
Sonningprisen is a prestigious Danish award given biennially to individuals who have made outstanding contributions to European culture.
|
E603949
|
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: Sonningprisen | Statement: [Sonning Prize, alsoKnownAs, Sonningprisen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonningprisen Context triple: [Sonning Prize, alsoKnownAs, Sonningprisen]
-
A.
Pris
Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
-
B.
Suliskongen
Suliskongen is a prominent mountain in the Sulitjelma massif of northern Norway, known as one of the major peaks in the Scandinavian border region between Norway and Sweden.
-
C.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
D.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
E.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
- 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: Sonningprisen Triple: [Sonning Prize, alsoKnownAs, Sonningprisen]
Generated description
Sonningprisen is a prestigious Danish award given biennially to individuals who have made outstanding contributions to European culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonningprisen Target entity description: Sonningprisen is a prestigious Danish award given biennially to individuals who have made outstanding contributions to European culture.
-
A.
Pris
Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
-
B.
Suliskongen
Suliskongen is a prominent mountain in the Sulitjelma massif of northern Norway, known as one of the major peaks in the Scandinavian border region between Norway and Sweden.
-
C.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
D.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
E.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
- 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_69c6ae8dad608190b4708368a7af6e5d |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56fe8f08190ad30773f29b207c5 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:54 p.m.