Triple
T6193655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristiansand |
E138455
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
|
E577815
|
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: Randesund | Statement: [Kristiansand, hasDistrict, Randesund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randesund Context triple: [Kristiansand, hasDistrict, Randesund]
-
A.
Fetsund
Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
-
B.
Drøbak
Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
-
C.
Farsund
Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
-
D.
Norrsundet
Norrsundet is a small coastal locality in eastern Sweden known historically for its sawmill and harbor along the Gulf of Bothnia.
-
E.
Sotra
Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
- 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: Randesund Triple: [Kristiansand, hasDistrict, Randesund]
Generated description
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randesund Target entity description: Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
-
A.
Fetsund
Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
-
B.
Drøbak
Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
-
C.
Farsund
Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
-
D.
Norrsundet
Norrsundet is a small coastal locality in eastern Sweden known historically for its sawmill and harbor along the Gulf of Bothnia.
-
E.
Sotra
Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062431ae88190a1bf6ca91f3dc690 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d8e4b308190b855cb04c9cfefeb |
completed | March 24, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69c2161cb8dc8190ae4e6939e392c8d4 |
completed | March 24, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2168aba8c8190841f8c2520a246ea |
completed | March 24, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4:19 p.m.