Triple
T18113815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellefoss |
E433547
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Hellefoss (Norwegian) |
—
|
NE NERFINISHED |
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: Hellefoss (Norwegian) | Statement: [Hellefoss, hasNameInLanguage, Hellefoss (Norwegian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellefoss (Norwegian) Context triple: [Hellefoss, hasNameInLanguage, Hellefoss (Norwegian)]
-
A.
Hellefoss
chosen
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
B.
Hellesyltfossen waterfall
Hellesyltfossen waterfall is a dramatic cascade in the village of Hellesylt, Norway, known for its powerful flow and scenic surroundings near the Geirangerfjord.
-
C.
Harpefoss
Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
-
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.
Hønefossen waterfall
Hønefossen waterfall is a notable waterfall on the Begna River in Hønefoss, Norway, historically important for local industry and as a prominent natural landmark in the town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.