Triple
T13808259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran municipality |
E331814
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Røykenvik
Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, Norway.
|
E1090087
|
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: Røykenvik | Statement: [Gran municipality, contains, Røykenvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Røykenvik Context triple: [Gran municipality, contains, Røykenvik]
-
A.
Røyrvik
Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
-
B.
Klemetsrud
Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
-
C.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
-
D.
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.
-
E.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
- 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: Røykenvik Triple: [Gran municipality, contains, Røykenvik]
Generated description
Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Røykenvik Target entity description: Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, Norway.
-
A.
Røyrvik
Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
-
B.
Klemetsrud
Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
-
C.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
-
D.
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.
-
E.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd323be8d48190b0b289f25de06fb1 |
completed | May 8, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69fd366ca0a88190a93ba290c56ee220 |
completed | May 8, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd377b46788190a06d7f41aa37a9f5 |
completed | May 8, 2026, 1:08 a.m. |
Created at: April 9, 2026, 10:12 p.m.