Triple
T8606113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballangen |
E203800
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kjeldebotn
Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
|
E747812
|
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: Kjeldebotn | Statement: [Ballangen, hasSettlement, Kjeldebotn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kjeldebotn Context triple: [Ballangen, hasSettlement, Kjeldebotn]
-
A.
Nordkjosbotn
Nordkjosbotn is a small village in Troms county in northern Norway, known as a key road junction and service center where major routes connect inland and coastal regions.
-
B.
Brøstadbotn
Brøstadbotn is a small coastal village in Northern Norway that serves as the administrative centre of Dyrøy Municipality in Troms county.
-
C.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
D.
Bjugn
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
-
E.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
- 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: Kjeldebotn Triple: [Ballangen, hasSettlement, Kjeldebotn]
Generated description
Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kjeldebotn Target entity description: Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
-
A.
Nordkjosbotn
Nordkjosbotn is a small village in Troms county in northern Norway, known as a key road junction and service center where major routes connect inland and coastal regions.
-
B.
Brøstadbotn
Brøstadbotn is a small coastal village in Northern Norway that serves as the administrative centre of Dyrøy Municipality in Troms county.
-
C.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
D.
Bjugn
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
-
E.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46e9b6a881908f6a6c847519e5e5 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbb9307c81909b31995c73728e91 |
completed | April 2, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69cebfbfaa888190b4dc61ea6e65bc3f |
completed | April 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cec01ec2d88190a9d96637f3e03932 |
completed | April 2, 2026, 7:14 p.m. |
Created at: March 30, 2026, 6:25 p.m.