Triple
T4365737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femunden |
E98766
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object |
Femundselva
Femundselva is a river in Norway that drains Lake Femunden and flows southward toward the Swedish border.
|
E442848
|
NE FINISHED |
How this triple was built (4 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: Femundselva | Statement: [Femunden, outflow, Femundselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Femundselva Context triple: [Femunden, outflow, Femundselva]
-
A.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
B.
Stabburselva
Stabburselva is a river in northern Norway known for flowing through Stabbursdalen National Park and for its rich salmon fishing.
-
C.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
D.
Beisfjordelva river
Beisfjordelva river is a Norwegian river in Nordland county that flows through the Beisfjord area before emptying into the Ofotfjord.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Femundselva Triple: [Femunden, outflow, Femundselva]
Generated description
Femundselva is a river in Norway that drains Lake Femunden and flows southward toward the Swedish border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Femundselva Target entity description: Femundselva is a river in Norway that drains Lake Femunden and flows southward toward the Swedish border.
-
A.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
B.
Stabburselva
Stabburselva is a river in northern Norway known for flowing through Stabbursdalen National Park and for its rich salmon fishing.
-
C.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
D.
Beisfjordelva river
Beisfjordelva river is a Norwegian river in Nordland county that flows through the Beisfjord area before emptying into the Ofotfjord.
-
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. chosen
Provenance (5 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627dd58dc819090d81177849fdc63 |
completed | March 15, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69b628fe10908190978dd0361628f54f |
completed | March 15, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b629ab52c881909f7fbef6f77b5bc4 |
completed | March 15, 2026, 3:38 a.m. |
Created at: March 12, 2026, 11:17 p.m.