Triple
T14377707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasaloppet |
E356517
|
entity |
| Predicate | startLocation |
P389
|
FINISHED |
| Object |
Sälen
Sälen is a Swedish mountain village and popular ski resort area in Dalarna, best known as the traditional starting point of the annual Vasaloppet cross-country ski race.
|
E1095967
|
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: Sälen | Statement: [Vasaloppet, startLocation, Sälen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sälen Context triple: [Vasaloppet, startLocation, Sälen]
-
A.
Sixten
Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
-
B.
Finse
Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
-
C.
Loen
Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
-
D.
Snåsa
Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
-
E.
Trysil
Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
- 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: Sälen Triple: [Vasaloppet, startLocation, Sälen]
Generated description
Sälen is a Swedish mountain village and popular ski resort area in Dalarna, best known as the traditional starting point of the annual Vasaloppet cross-country ski race.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sälen Target entity description: Sälen is a Swedish mountain village and popular ski resort area in Dalarna, best known as the traditional starting point of the annual Vasaloppet cross-country ski race.
-
A.
Sixten
Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
-
B.
Finse
Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
-
C.
Loen
Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
-
D.
Snåsa
Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
-
E.
Trysil
Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5728fc819089ef3c7c34b10101 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.