Triple
T13614431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bygland |
E325274
|
entity |
| Predicate | locatedBy |
P2409
|
FINISHED |
| Object |
Byglandsfjorden
Byglandsfjorden is a long, narrow lake in Agder county in southern Norway, known for its scenic fjord-like landscape along the Otra river.
|
E1126363
|
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: Byglandsfjorden | Statement: [Bygland, locatedBy, Byglandsfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byglandsfjorden Context triple: [Bygland, locatedBy, Byglandsfjorden]
-
A.
Byfjorden
Byfjorden is a coastal fjord in western Norway that forms the main seaway and natural harbor area adjacent to the city of Bergen.
-
B.
Byfjorden
Byfjorden is a coastal fjord in western Sweden known for its scenic waters and proximity to the town of Uddevalla.
-
C.
Billefjorden
Billefjorden is a fjord in the Svalbard archipelago of Norway, known for its Arctic landscapes and nearby former Soviet mining settlement Pyramiden.
-
D.
Bjørnafjorden
Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
-
E.
Sandviksfjorden
Sandviksfjorden is a celebrated 19th-century Norwegian landscape painting by Hans Gude, depicting a coastal fjord scene with detailed maritime and atmospheric effects.
- 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: Byglandsfjorden Triple: [Bygland, locatedBy, Byglandsfjorden]
Generated description
Byglandsfjorden is a long, narrow lake in Agder county in southern Norway, known for its scenic fjord-like landscape along the Otra river.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byglandsfjorden Target entity description: Byglandsfjorden is a long, narrow lake in Agder county in southern Norway, known for its scenic fjord-like landscape along the Otra river.
-
A.
Byfjorden
Byfjorden is a coastal fjord in western Norway that forms the main seaway and natural harbor area adjacent to the city of Bergen.
-
B.
Byfjorden
Byfjorden is a coastal fjord in western Sweden known for its scenic waters and proximity to the town of Uddevalla.
-
C.
Billefjorden
Billefjorden is a fjord in the Svalbard archipelago of Norway, known for its Arctic landscapes and nearby former Soviet mining settlement Pyramiden.
-
D.
Bjørnafjorden
Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
-
E.
Sandviksfjorden
Sandviksfjorden is a celebrated 19th-century Norwegian landscape painting by Hans Gude, depicting a coastal fjord scene with detailed maritime and atmospheric effects.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729a48288190bf24503af6522677 |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe73b306348190b0bf6b1ecace239a |
completed | May 8, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe74b4dcc4819084e7f1c055fc559f |
completed | May 8, 2026, 11:41 p.m. |
Created at: April 9, 2026, 9:50 p.m.