Triple
T15663975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eidfjord |
E376637
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Kjeåsen mountain farm
Kjeåsen mountain farm is a famously remote and scenic Norwegian farm perched high above the Simadalsfjord in Eidfjord, known for its dramatic views and challenging access.
|
E1169854
|
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: Kjeåsen mountain farm | Statement: [Eidfjord, hasAttraction, Kjeåsen mountain farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kjeåsen mountain farm Context triple: [Eidfjord, hasAttraction, Kjeåsen mountain farm]
-
A.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
B.
Skageflå farm
Skageflå farm is a historic, now-abandoned mountain farm in Norway famous for its dramatic cliffside location overlooking the Geirangerfjord.
-
C.
Årsdale
Årsdale is a small coastal fishing village on the Danish island of Bornholm, known for its traditional smokehouses and picturesque harbor.
-
D.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
E.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
- 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: Kjeåsen mountain farm Triple: [Eidfjord, hasAttraction, Kjeåsen mountain farm]
Generated description
Kjeåsen mountain farm is a famously remote and scenic Norwegian farm perched high above the Simadalsfjord in Eidfjord, known for its dramatic views and challenging access.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kjeåsen mountain farm Target entity description: Kjeåsen mountain farm is a famously remote and scenic Norwegian farm perched high above the Simadalsfjord in Eidfjord, known for its dramatic views and challenging access.
-
A.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
B.
Skageflå farm
Skageflå farm is a historic, now-abandoned mountain farm in Norway famous for its dramatic cliffside location overlooking the Geirangerfjord.
-
C.
Årsdale
Årsdale is a small coastal fishing village on the Danish island of Bornholm, known for its traditional smokehouses and picturesque harbor.
-
D.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
E.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679ff4648190a2f05d6445fa59df |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68af38848190975e374b2c8c917b |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69660b6c819082dbdf06db1c8fe3 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.