Triple
T17793692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsen |
E444232
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Namsenelva
Namsenelva is a major river in Trøndelag county, Norway, renowned as one of the country’s best salmon-fishing rivers.
|
E1318773
|
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: Namsenelva | Statement: [Namsen, alsoKnownAs, Namsenelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namsenelva Context triple: [Namsen, alsoKnownAs, Namsenelva]
-
A.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
-
B.
Steinsdalselva
Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
-
C.
Randselva
Randselva is a river in eastern Norway that drains into Randsfjorden and is known for flowing through the Hønefoss area.
-
D.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
E.
Hallingdalselva
Hallingdalselva is a major river in eastern Norway known for flowing through the Hallingdal valley and supporting hydropower production, fishing, and outdoor recreation.
- 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: Namsenelva Triple: [Namsen, alsoKnownAs, Namsenelva]
Generated description
Namsenelva is a major river in Trøndelag county, Norway, renowned as one of the country’s best salmon-fishing rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namsenelva Target entity description: Namsenelva is a major river in Trøndelag county, Norway, renowned as one of the country’s best salmon-fishing rivers.
-
A.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
-
B.
Steinsdalselva
Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
-
C.
Randselva
Randselva is a river in eastern Norway that drains into Randsfjorden and is known for flowing through the Hønefoss area.
-
D.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
E.
Hallingdalselva
Hallingdalselva is a major river in eastern Norway known for flowing through the Hallingdal valley and supporting hydropower production, fishing, and outdoor recreation.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487993a6c8190805e06d93dfc0dce |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4a9649c81909f970fdc2b396e01 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c6397260819085b81b68cac69907 |
completed | May 13, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c84f469c8190aef27154c17fd652 |
completed | May 13, 2026, 12:39 a.m. |
Created at: April 10, 2026, 10:13 a.m.