Triple
T5098167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosen |
E114916
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bjugn
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
|
E525119
|
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: Bjugn | Statement: [Fosen, contains, Bjugn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjugn Context triple: [Fosen, contains, Bjugn]
-
A.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
B.
Bremanger
Bremanger is a coastal municipality in Vestland county, Norway, known for its rugged fjord landscape, fishing communities, and scenic beaches like Grotlesanden.
-
C.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
-
D.
Bolnes
Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
-
E.
Sæbø
Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western 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: Bjugn Triple: [Fosen, contains, Bjugn]
Generated description
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjugn Target entity description: Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
-
A.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
B.
Bremanger
Bremanger is a coastal municipality in Vestland county, Norway, known for its rugged fjord landscape, fishing communities, and scenic beaches like Grotlesanden.
-
C.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
-
D.
Bolnes
Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
-
E.
Sæbø
Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western 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_69bf8575c1e48190a611bbbe9b3fb286 |
completed | March 22, 2026, 6 a.m. |
| NEDg | Description generation | batch_69bf86249f788190939565a9b3b42dd3 |
completed | March 22, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf867d39f4819091fb79cafcc66123 |
completed | March 22, 2026, 6:04 a.m. |
Created at: March 20, 2026, 1:40 p.m.