Triple
T6869336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øvre Eiker |
E158498
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Drammenselva |
E98765
|
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: Drammenselva | Statement: [Øvre Eiker, hasRiver, Drammenselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drammenselva Context triple: [Øvre Eiker, hasRiver, Drammenselva]
-
A.
Drammenselva
chosen
Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
-
B.
Akerselva river
Akerselva river is a historically significant river in Oslo, Norway, known for its former industrial sites, scenic walking paths, and role as a natural boundary between city districts.
-
C.
Glomma
Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
-
D.
Lysakerelva
Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
-
E.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a916a88190b81551731dff2898 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748c0689081908d37d1530ed0f6a0 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:22 p.m.