Triple
T20250356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiensvassdraget |
E498534
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Skienselva |
—
|
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: Skienselva | Statement: [Skiensvassdraget, hasPart, Skienselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skienselva Context triple: [Skiensvassdraget, hasPart, Skienselva]
-
A.
Skienselva
chosen
Skienselva is a river in Telemark, Norway, that flows through the town of Skien and forms part of the region’s important waterway system.
-
B.
Skotselv
Skotselv is a small village in the municipality of Øvre Eiker in Buskerud county, Norway, known for its riverside setting and local community character.
-
C.
Flisaelva
Flisaelva is a river in Innlandet county in eastern Norway that flows through the municipality of Åsnes and is part of the larger Glomma river system.
-
D.
Breimselva
Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
-
E.
Svelgselva
Svelgselva is a river located in the municipality of Bremanger in Vestland county, western Norway, known for flowing through a rugged coastal landscape.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a79a208190a5a7c0f6515bc393 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.