Triple
T15878515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloppen |
E385011
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Breimselva
Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
|
E1189526
|
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: Breimselva | Statement: [Gloppen, hasRiver, Breimselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breimselva Context triple: [Gloppen, hasRiver, Breimselva]
-
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.
Bingselva
Bingselva is a river in the municipality of Øvre Eiker in Buskerud, Norway, known as a local watercourse in the Drammen region.
-
D.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
E.
Stryneelva
Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
- 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: Breimselva Triple: [Gloppen, hasRiver, Breimselva]
Generated description
Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Breimselva Target entity description: Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
-
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.
Bingselva
Bingselva is a river in the municipality of Øvre Eiker in Buskerud, Norway, known as a local watercourse in the Drammen region.
-
D.
Målselva
Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
-
E.
Stryneelva
Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1045f88190ae96a2477497038c |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd049952081909221df73d3555557 |
completed | May 10, 2026, 12:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd10ab484819089cd94ef07cb8de5 |
completed | May 10, 2026, 12:27 a.m. |
Created at: April 10, 2026, 4:51 a.m.