Triple
T15760457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebesby |
E382081
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Dyfjord
Dyfjord is a small coastal settlement in northern Norway, situated within the Arctic municipality of Lebesby in Troms og Finnmark county.
|
E1533313
|
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: Dyfjord | Statement: [Lebesby, containsSettlement, Dyfjord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyfjord Context triple: [Lebesby, containsSettlement, Dyfjord]
-
A.
Byfjorden
Byfjorden is a coastal fjord in western Sweden known for its scenic waters and proximity to the town of Uddevalla.
-
B.
Byfjorden
Byfjorden is a coastal fjord in western Norway that forms the main seaway and natural harbor area adjacent to the city of Bergen.
-
C.
Syltefjord
Syltefjord is a remote, narrow fjord on Norway’s Varanger Peninsula known for its dramatic coastal scenery and rich birdlife.
-
D.
Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
-
E.
Storfjord
Storfjord is a municipality in Troms og Finnmark county in northern Norway, known for its fjord landscapes and proximity to the borders with Finland and Sweden.
- 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: Dyfjord Triple: [Lebesby, containsSettlement, Dyfjord]
Generated description
Dyfjord is a small coastal settlement in northern Norway, situated within the Arctic municipality of Lebesby in Troms og Finnmark county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dyfjord Target entity description: Dyfjord is a small coastal settlement in northern Norway, situated within the Arctic municipality of Lebesby in Troms og Finnmark county.
-
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.
Syltefjord
Syltefjord is a remote, narrow fjord on Norway’s Varanger Peninsula known for its dramatic coastal scenery and rich birdlife.
-
D.
Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
-
E.
Storfjord
Storfjord is a municipality in Troms og Finnmark county in northern Norway, known for its fjord landscapes and proximity to the borders with Finland and Sweden.
- 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_6a0ae99b7ec48190b3ddfe3bf61ab8fb |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aea2e16f881909311d0ad4694a7df |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeabfc9a08190b7eefb232ac07ed8 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 10, 2026, 4:47 a.m.