Triple
T23230993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bøverdalen |
E581152
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bøvertun
Bøvertun is a small settlement and tourist stop in the Bøverdalen valley of Norway, known as a base for outdoor activities in the surrounding mountain areas.
|
E1576221
|
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: Bøvertun | Statement: [Bøverdalen, hasPart, Bøvertun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bøvertun Context triple: [Bøverdalen, hasPart, Bøvertun]
-
A.
Bøelva
Bøelva is a river in Telemark, Norway, known for flowing through the Bø area before emptying into the large lake Norsjø.
-
B.
Nærbø
Nærbø is a village in Hå municipality in Rogaland county, Norway, known as an agricultural center on the Jæren plain with rail connections to larger nearby cities.
-
C.
Vangsnes
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
D.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
E.
Sæbøvik
Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
- 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: Bøvertun Triple: [Bøverdalen, hasPart, Bøvertun]
Generated description
Bøvertun is a small settlement and tourist stop in the Bøverdalen valley of Norway, known as a base for outdoor activities in the surrounding mountain areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bøvertun Target entity description: Bøvertun is a small settlement and tourist stop in the Bøverdalen valley of Norway, known as a base for outdoor activities in the surrounding mountain areas.
-
A.
Bøelva
Bøelva is a river in Telemark, Norway, known for flowing through the Bø area before emptying into the large lake Norsjø.
-
B.
Nærbø
Nærbø is a village in Hå municipality in Rogaland county, Norway, known as an agricultural center on the Jæren plain with rail connections to larger nearby cities.
-
C.
Vangsnes
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
D.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
E.
Sæbøvik
Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f19231ef908190a791b4967916a66f |
completed | April 29, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f577f5c8190a8c8bdf9bd5305f5 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c4008c4a881908ad49e733b549036 |
completed | May 19, 2026, 10:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40bece448190bb9fd1a3058a1f06 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:09 p.m.