Triple
T19560634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Røyken |
E489438
|
entity |
| Predicate | otherSettlement |
P53596
|
FINISHED |
| Object |
Nærsnes
Nærsnes is a small coastal village in Asker municipality in Viken county, Norway, situated along the Oslofjord.
|
E1419623
|
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: Nærsnes | Statement: [Røyken, otherSettlement, Nærsnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nærsnes Context triple: [Røyken, otherSettlement, Nærsnes]
-
A.
Masfjordnes
Masfjordnes is a small coastal village in Vestland county, Norway, serving as the main local hub for services and administration in the surrounding fjord area.
-
B.
Øystese
Øystese is a village in Vestland county, Norway, known for its scenic fjordside setting and role as a local center within the municipality of Kvam.
-
C.
Kalvåg
Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
-
D.
Fetsund
Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
-
E.
Gressvik
Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
- 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: Nærsnes Triple: [Røyken, otherSettlement, Nærsnes]
Generated description
Nærsnes is a small coastal village in Asker municipality in Viken county, Norway, situated along the Oslofjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nærsnes Target entity description: Nærsnes is a small coastal village in Asker municipality in Viken county, Norway, situated along the Oslofjord.
-
A.
Masfjordnes
Masfjordnes is a small coastal village in Vestland county, Norway, serving as the main local hub for services and administration in the surrounding fjord area.
-
B.
Øystese
Øystese is a village in Vestland county, Norway, known for its scenic fjordside setting and role as a local center within the municipality of Kvam.
-
C.
Kalvåg
Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
-
D.
Fetsund
Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
-
E.
Gressvik
Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f7442e08190ad030151ec0a97d4 |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b7231688190ae29f2c0b031ebd8 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084ca69f448190a18bd1fd8ebbcb2d |
completed | May 16, 2026, 10:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d2161cc81908e1b5993cea934a0 |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 10, 2026, 1:42 p.m.