Triple
T20998905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vest-Agder |
E517227
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Audnedal
Audnedal is a former rural municipality in Southern Norway known for its valleys, forests, and traditional farming communities.
|
E1472316
|
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: Audnedal | Statement: [Vest-Agder, containsMunicipality, Audnedal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audnedal Context triple: [Vest-Agder, containsMunicipality, Audnedal]
-
A.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
B.
Gravdal
Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
C.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
-
D.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
E.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
- 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: Audnedal Triple: [Vest-Agder, containsMunicipality, Audnedal]
Generated description
Audnedal is a former rural municipality in Southern Norway known for its valleys, forests, and traditional farming communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Audnedal Target entity description: Audnedal is a former rural municipality in Southern Norway known for its valleys, forests, and traditional farming communities.
-
A.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
B.
Gravdal
Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
C.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
-
D.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
E.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc2395108190871e173354e4ef6f |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097eb77c748190a87f51754a93448b |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a098258757c8190b394f20074093f58 |
completed | May 17, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0982a8fc7c81909c47076b33bcb24a |
completed | May 17, 2026, 8:56 a.m. |
Created at: April 16, 2026, 1:51 p.m.