Triple
T16027246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågsøy |
E388746
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Kvalheim
Kvalheim is a small coastal village in the former Vågsøy municipality in western Norway, known for its scenic North Sea surroundings and traditional fishing community.
|
E1189214
|
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: Kvalheim | Statement: [Vågsøy, hasVillage, Kvalheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvalheim Context triple: [Vågsøy, hasVillage, Kvalheim]
-
A.
Klemetsrud
Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
-
B.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
C.
Trysil
Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
-
D.
Bjerkreim
Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
-
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: Kvalheim Triple: [Vågsøy, hasVillage, Kvalheim]
Generated description
Kvalheim is a small coastal village in the former Vågsøy municipality in western Norway, known for its scenic North Sea surroundings and traditional fishing community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvalheim Target entity description: Kvalheim is a small coastal village in the former Vågsøy municipality in western Norway, known for its scenic North Sea surroundings and traditional fishing community.
-
A.
Klemetsrud
Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
-
B.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
C.
Trysil
Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
-
D.
Bjerkreim
Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
-
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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd01d545c8190a96cd888223c7fa9 |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.