Triple
T21969229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aulestad |
E542540
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Bjørnson’s study
Bjørnson’s study is the preserved workspace of Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson at his historic home Aulestad, showcasing his life and literary legacy.
|
E1510980
|
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: Bjørnson’s study | Statement: [Aulestad, hasAttraction, Bjørnson’s study]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjørnson’s study Context triple: [Aulestad, hasAttraction, Bjørnson’s study]
-
A.
Bengtsson
Bengtsson is a Swedish patronymic surname meaning "son of Bengt," commonly found in Sweden and among people of Swedish descent.
-
B.
Hägerstrand
Hägerstrand is a Swedish surname most notably associated with Torsten Hägerstrand, a pioneering geographer known for his work in time geography and spatial analysis.
-
C.
Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
-
D.
Malchow-Møller
Malchow-Møller is the surname of Danish economist and academic leader Nikolaj Malchow-Møller.
-
E.
Myrdal
Myrdal is a remote mountain railway station in Norway that serves as a key junction between the Bergen Line and the scenic Flåm Line.
- 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: Bjørnson’s study Triple: [Aulestad, hasAttraction, Bjørnson’s study]
Generated description
Bjørnson’s study is the preserved workspace of Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson at his historic home Aulestad, showcasing his life and literary legacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjørnson’s study Target entity description: Bjørnson’s study is the preserved workspace of Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson at his historic home Aulestad, showcasing his life and literary legacy.
-
A.
Bengtsson
Bengtsson is a Swedish patronymic surname meaning "son of Bengt," commonly found in Sweden and among people of Swedish descent.
-
B.
Hägerstrand
Hägerstrand is a Swedish surname most notably associated with Torsten Hägerstrand, a pioneering geographer known for his work in time geography and spatial analysis.
-
C.
Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
-
D.
Malchow-Møller
Malchow-Møller is the surname of Danish economist and academic leader Nikolaj Malchow-Møller.
-
E.
Myrdal
Myrdal is a remote mountain railway station in Norway that serves as a key junction between the Bergen Line and the scenic Flåm Line.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245d50d08190a4bf93139daa77eb |
completed | April 28, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6716e6f48190a758929b4cf94707 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67c29848819080860f13b4c9697b |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a686a0f208190977890119ffcff79 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:02 p.m.