Triple
T3517929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardangerfjord |
E74351
|
entity |
| Predicate | hasNearbyWaterfall |
P13549
|
FINISHED |
| Object |
Vøringsfossen
Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
|
E365825
|
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: Vøringsfossen | Statement: [Hardangerfjord, hasNearbyWaterfall, Vøringsfossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vøringsfossen Context triple: [Hardangerfjord, hasNearbyWaterfall, Vøringsfossen]
-
A.
Bøylefoss
Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
-
B.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
-
E.
Møysalen
Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
- 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: Vøringsfossen Triple: [Hardangerfjord, hasNearbyWaterfall, Vøringsfossen]
Generated description
Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vøringsfossen Target entity description: Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
-
A.
Bøylefoss
Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
-
B.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
-
E.
Møysalen
Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc32f90081908960acb3e94402be |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e80cd588190ae012f151ef59c52 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37ef902208190842ddbe6427ca42b |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b382b43b708190be7ae3d44b0a393a |
completed | March 13, 2026, 3:21 a.m. |
Created at: March 8, 2026, 3:19 p.m.