Triple
T4458774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lågen |
E98197
|
entity |
| Predicate | waterSystem |
P4102
|
FINISHED |
| Object | Glomma–Lågen watercourse |
E96298
|
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: Glomma–Lågen watercourse | Statement: [Lågen, waterSystem, Glomma–Lågen watercourse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glomma–Lågen watercourse Context triple: [Lågen, waterSystem, Glomma–Lågen watercourse]
-
A.
Beisfjordelva river
Beisfjordelva river is a Norwegian river in Nordland county that flows through the Beisfjord area before emptying into the Ofotfjord.
-
B.
Glomma
chosen
Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
-
C.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
D.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
E.
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.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f3b9950819085c285defda52d51 |
completed | March 15, 2026, 7:26 a.m. |
Created at: March 12, 2026, 11:33 p.m.