Triple
T15333705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hordaland |
E366605
|
entity |
| Predicate | containsWaterfall |
P13549
|
FINISHED |
| Object | Vøringsfossen |
E365825
|
NE FINISHED |
How this triple was built (2 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: [Hordaland, containsWaterfall, Vøringsfossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vøringsfossen Context triple: [Hordaland, containsWaterfall, Vøringsfossen]
-
A.
Vøringsfossen
chosen
Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
-
B.
Vestfossen
Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
-
C.
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.
-
D.
Bøylefoss
Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
-
E.
Ulefoss
Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133f242c819099ec5288ae4a622f |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:17 a.m.