Triple
T13262665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenvik Municipality |
E315837
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Rossfjordstraumen
Rossfjordstraumen is a small village in northern Norway known for its scenic fjordside setting and rural character.
|
E1030726
|
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: Rossfjordstraumen | Statement: [Lenvik Municipality, hasSettlement, Rossfjordstraumen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossfjordstraumen Context triple: [Lenvik Municipality, hasSettlement, Rossfjordstraumen]
-
A.
Strindfjorden
Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
-
B.
Osafjorden
Osafjorden is a side fjord of Norway’s Hardangerfjord, known for its steep mountain scenery and tranquil, narrow waters.
-
C.
Saudafjorden
Saudafjorden is a narrow, scenic fjord in Rogaland county, southwestern Norway, known for its steep mountainsides and industrial town of Sauda at its inner end.
-
D.
Tysfjorden
Tysfjorden is a dramatic fjord in Nordland county, northern Norway, known for its steep mountains, deep waters, and scenic Arctic landscapes.
-
E.
Vindafjord
Vindafjord is a coastal municipality in southwestern Norway known for its fjords, maritime industries, and rural landscapes.
- 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: Rossfjordstraumen Triple: [Lenvik Municipality, hasSettlement, Rossfjordstraumen]
Generated description
Rossfjordstraumen is a small village in northern Norway known for its scenic fjordside setting and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rossfjordstraumen Target entity description: Rossfjordstraumen is a small village in northern Norway known for its scenic fjordside setting and rural character.
-
A.
Strindfjorden
Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
-
B.
Osafjorden
Osafjorden is a side fjord of Norway’s Hardangerfjord, known for its steep mountain scenery and tranquil, narrow waters.
-
C.
Saudafjorden
Saudafjorden is a narrow, scenic fjord in Rogaland county, southwestern Norway, known for its steep mountainsides and industrial town of Sauda at its inner end.
-
D.
Tysfjorden
Tysfjorden is a dramatic fjord in Nordland county, northern Norway, known for its steep mountains, deep waters, and scenic Arctic landscapes.
-
E.
Vindafjord
Vindafjord is a coastal municipality in southwestern Norway known for its fjords, maritime industries, and rural landscapes.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901b380881909e6520fbb6811084 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.