Triple
T5098110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Møre og Romsdal |
E114915
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Nesset
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
|
E496944
|
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: Nesset | Statement: [Møre og Romsdal, containsSettlement, Nesset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesset Context triple: [Møre og Romsdal, containsSettlement, Nesset]
-
A.
Ranfjorden
Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
-
B.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
C.
Sørreisa
Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
-
D.
Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
E.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
- 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: Nesset Triple: [Møre og Romsdal, containsSettlement, Nesset]
Generated description
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nesset Target entity description: Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
-
A.
Ranfjorden
Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
-
B.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
C.
Sørreisa
Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
-
D.
Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
E.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7567d21081909227ed8f08b74c71 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfc467008190ae704139f21edae2 |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed02a4a40819084f541cd4631b3a5 |
completed | March 21, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed07e59948190830c6444e1f3560e |
completed | March 21, 2026, 5:08 p.m. |
Created at: March 20, 2026, 1:40 p.m.