Triple
T17370015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rjukan |
E422285
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Rjukanfossen
Rjukanfossen is a famous Norwegian waterfall in Telemark, historically known for its dramatic drop and for powering early industrial development in the town of Rjukan.
|
E1264078
|
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: Rjukanfossen | Statement: [Rjukan, namedAfter, Rjukanfossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rjukanfossen Context triple: [Rjukan, namedAfter, Rjukanfossen]
-
A.
Furebergfossen
Furebergfossen is a prominent waterfall in western Norway, known for its wide cascade that plunges directly into the Maurangsfjorden and is easily viewed from the nearby road.
-
B.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
C.
Herefoss
Herefoss is a small village in southern Norway, located in Birkenes municipality in Agder county.
-
D.
Vettisfossen waterfall
Vettisfossen waterfall is one of Norway’s highest and most famous free-falling waterfalls, located in a dramatic valley in Vestland county.
-
E.
Harpefoss
Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
- 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: Rjukanfossen Triple: [Rjukan, namedAfter, Rjukanfossen]
Generated description
Rjukanfossen is a famous Norwegian waterfall in Telemark, historically known for its dramatic drop and for powering early industrial development in the town of Rjukan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rjukanfossen Target entity description: Rjukanfossen is a famous Norwegian waterfall in Telemark, historically known for its dramatic drop and for powering early industrial development in the town of Rjukan.
-
A.
Furebergfossen
Furebergfossen is a prominent waterfall in western Norway, known for its wide cascade that plunges directly into the Maurangsfjorden and is easily viewed from the nearby road.
-
B.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
C.
Herefoss
Herefoss is a small village in southern Norway, located in Birkenes municipality in Agder county.
-
D.
Vettisfossen waterfall
Vettisfossen waterfall is one of Norway’s highest and most famous free-falling waterfalls, located in a dramatic valley in Vestland county.
-
E.
Harpefoss
Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
completed | May 11, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019b88046081909ee72d0efca7725f |
completed | May 11, 2026, 9:04 a.m. |
Created at: April 10, 2026, 5:44 a.m.