Triple
T16903753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sør-Varanger |
E424503
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Skogfoss
Skogfoss is a small village in Sør-Varanger municipality in Troms og Finnmark county in far northeastern Norway, near the border with Russia.
|
E1239400
|
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: Skogfoss | Statement: [Sør-Varanger, hasVillage, Skogfoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skogfoss Context triple: [Sør-Varanger, hasVillage, Skogfoss]
-
A.
Granfossen
Granfossen is a notable waterfall along the Lysakerelva river near Oslo, Norway, known for its scenic cascades in a wooded valley setting.
-
B.
Harpefoss
Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
-
C.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
D.
Sarpsfossen waterfall
Sarpsfossen waterfall is one of Europe's most powerful waterfalls, historically important for Norway's timber and hydropower industries and a notable natural attraction in the Sarpsborg area.
-
E.
Ulefoss
Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
- 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: Skogfoss Triple: [Sør-Varanger, hasVillage, Skogfoss]
Generated description
Skogfoss is a small village in Sør-Varanger municipality in Troms og Finnmark county in far northeastern Norway, near the border with Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skogfoss Target entity description: Skogfoss is a small village in Sør-Varanger municipality in Troms og Finnmark county in far northeastern Norway, near the border with Russia.
-
A.
Granfossen
Granfossen is a notable waterfall along the Lysakerelva river near Oslo, Norway, known for its scenic cascades in a wooded valley setting.
-
B.
Harpefoss
Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
-
C.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
D.
Sarpsfossen waterfall
Sarpsfossen waterfall is one of Europe's most powerful waterfalls, historically important for Norway's timber and hydropower industries and a notable natural attraction in the Sarpsborg area.
-
E.
Ulefoss
Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8de3070819085bfe9696bc887ea |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b47a6081909d8609c2bce96d1a |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c84074b0819095853775625b320d |
completed | May 10, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c8cdcda88190ba4f05a9035668f9 |
completed | May 10, 2026, 6:05 p.m. |
Created at: April 10, 2026, 5:30 a.m.