Triple
T15889793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Målselvdalen |
E385285
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Målselva river |
E392712
|
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: Målselva river | Statement: [Målselvdalen, watercourse, Målselva river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Målselva river Context triple: [Målselvdalen, watercourse, Målselva river]
-
A.
Målselva
chosen
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
B.
Nidelva river
Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
-
C.
Porsgrunn River
The Porsgrunn River is a waterway in Telemark county, Norway, flowing through the town of Porsgrunn as part of the larger Skienselva river system.
-
D.
Hellelandselva river
Hellelandselva river is a watercourse in southwestern Norway that flows through the municipality of Eigersund in Rogaland county.
-
E.
Randselva
Randselva is a river in eastern Norway that drains into Randsfjorden and is known for flowing through the Hønefoss area.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561d5c28819094c3541d917a4433 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7924b148190a470f86d5ca8882c |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:51 a.m.