Triple
T15760466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebesby |
E382081
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Laksefjord
Laksefjord is a large Arctic fjord in Troms og Finnmark county in northern Norway, known for its rugged coastline, fishing, and remote natural landscapes.
|
E1538060
|
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: Laksefjord | Statement: [Lebesby, contains, Laksefjord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laksefjord Context triple: [Lebesby, contains, Laksefjord]
-
A.
Flekkefjord
Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
-
B.
Langesundsfjord
Langesundsfjord is a coastal fjord in southeastern Norway known for its scenic waterways, islands, and maritime activities near the town of Langesund.
-
C.
Langfjorden
Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
-
D.
Uskedalsfjorden
Uskedalsfjorden is a scenic fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep mountainsides and coastal landscapes.
-
E.
Vågsfjorden
Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
- 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: Laksefjord Triple: [Lebesby, contains, Laksefjord]
Generated description
Laksefjord is a large Arctic fjord in Troms og Finnmark county in northern Norway, known for its rugged coastline, fishing, and remote natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laksefjord Target entity description: Laksefjord is a large Arctic fjord in Troms og Finnmark county in northern Norway, known for its rugged coastline, fishing, and remote natural landscapes.
-
A.
Flekkefjord
Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
-
B.
Langesundsfjord
Langesundsfjord is a coastal fjord in southeastern Norway known for its scenic waterways, islands, and maritime activities near the town of Langesund.
-
C.
Langfjorden
Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
-
D.
Uskedalsfjorden
Uskedalsfjorden is a scenic fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep mountainsides and coastal landscapes.
-
E.
Vågsfjorden
Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b52c548190a0ffa4493a4eb15c |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c5343a88190b48e4beca0e779aa |
completed | May 18, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0b0ce561e88190b1cd82bb7786f296 |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0d9ce0148190b0cda6c97b84d399 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 10, 2026, 4:47 a.m.