Triple
T2912289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Froland |
E63709
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bøylefoss
Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
|
E308952
|
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: Bøylefoss | Statement: [Froland, hasSettlement, Bøylefoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bøylefoss Context triple: [Froland, hasSettlement, Bøylefoss]
-
A.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
B.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
C.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
D.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag 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: Bøylefoss Triple: [Froland, hasSettlement, Bøylefoss]
Generated description
Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bøylefoss Target entity description: Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
-
A.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
B.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
C.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
D.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0eb77708190b745b887f3b9a618 |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562014fc8190b7b702fa40682382 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b05f7e78e8819095185f170ca26bda |
completed | March 10, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0617a21a881909a0f52268a2494a6 |
completed | March 10, 2026, 6:22 p.m. |
Created at: March 6, 2026, 10:11 p.m.