Triple
T15276381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogn og Fjordane |
E365150
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object |
Fjaler
Fjaler is a small municipality in Western Norway known for its fjord landscapes and rural communities.
|
E1148836
|
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: Fjaler | Statement: [Sogn og Fjordane, containsPart, Fjaler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fjaler Context triple: [Sogn og Fjordane, containsPart, Fjaler]
-
A.
Fjell
Fjell was a former municipality in Vestland county, Norway, encompassing coastal and island communities west of Bergen.
-
B.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
-
C.
Lifjell
Lifjell is a mountainous plateau and popular outdoor recreation area in Telemark, Norway, known for its hiking, skiing, and scenic alpine landscapes.
-
D.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
E.
Flørli
Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
- 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: Fjaler Triple: [Sogn og Fjordane, containsPart, Fjaler]
Generated description
Fjaler is a small municipality in Western Norway known for its fjord landscapes and rural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fjaler Target entity description: Fjaler is a small municipality in Western Norway known for its fjord landscapes and rural communities.
-
A.
Fjell
Fjell was a former municipality in Vestland county, Norway, encompassing coastal and island communities west of Bergen.
-
B.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
-
C.
Lifjell
Lifjell is a mountainous plateau and popular outdoor recreation area in Telemark, Norway, known for its hiking, skiing, and scenic alpine landscapes.
-
D.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
E.
Flørli
Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7186d481909067f8088f3ea497 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef3374a34819094e0a4ac7bf89059 |
completed | May 9, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef41c898881908ed3520643918445 |
completed | May 9, 2026, 8:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.