Triple
T5065540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skien |
E114133
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Skienselva |
E489951
|
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: Skienselva | Statement: [Skien, hasRiver, Skienselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skienselva Context triple: [Skien, hasRiver, 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.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
C.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
D.
Lakselv
Lakselv is a small town in northern Norway that serves as an administrative and transport hub in Finnmark, near the Porsangerfjorden and close to the North Cape region.
-
E.
Reisaelva
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10778208190a5c6a9457c085491 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.