Triple
T22776208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennebu |
E563705
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Nerskogen
Nerskogen is a small rural village in central Norway known for its mountainous surroundings and outdoor recreation opportunities.
|
E1553697
|
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: Nerskogen | Statement: [Rennebu, hasSettlement, Nerskogen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerskogen Context triple: [Rennebu, hasSettlement, Nerskogen]
-
A.
Lierskogen
Lierskogen is a village in Lier municipality in Buskerud county, Norway, known for its residential areas and proximity to major transport routes between Drammen and Oslo.
-
B.
Krokskogen
Krokskogen is a large forested area and popular outdoor recreation region in southeastern Norway, known for its hiking and skiing trails between Oslo and the Ringerike district.
-
C.
Leirskogen
Leirskogen is a small rural village located in the municipality of Sør-Aurdal in Innlandet county, Norway.
-
D.
Bøgeskov
Bøgeskov is a small settlement in Denmark located within Fredericia Municipality in the Region of Southern Denmark.
-
E.
Kvamskogen
Kvamskogen is a popular mountainous recreational area in western Norway known for its ski resorts, cabins, and outdoor activities.
- 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: Nerskogen Triple: [Rennebu, hasSettlement, Nerskogen]
Generated description
Nerskogen is a small rural village in central Norway known for its mountainous surroundings and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nerskogen Target entity description: Nerskogen is a small rural village in central Norway known for its mountainous surroundings and outdoor recreation opportunities.
-
A.
Lierskogen
Lierskogen is a village in Lier municipality in Buskerud county, Norway, known for its residential areas and proximity to major transport routes between Drammen and Oslo.
-
B.
Krokskogen
Krokskogen is a large forested area and popular outdoor recreation region in southeastern Norway, known for its hiking and skiing trails between Oslo and the Ringerike district.
-
C.
Leirskogen
Leirskogen is a small rural village located in the municipality of Sør-Aurdal in Innlandet county, Norway.
-
D.
Bøgeskov
Bøgeskov is a small settlement in Denmark located within Fredericia Municipality in the Region of Southern Denmark.
-
E.
Kvamskogen
Kvamskogen is a popular mountainous recreational area in western Norway known for its ski resorts, cabins, and outdoor activities.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b61acf881909d9f54e0966ee3cc |
completed | April 29, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9824f4108190b430ea2138a57ba0 |
completed | May 18, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a0b9970f0388190a71f234f8022fc3e |
completed | May 18, 2026, 10:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9a1129c8819084163353accc7e14 |
completed | May 18, 2026, 11 p.m. |
Created at: April 17, 2026, 3:28 p.m.