Triple
T1052698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Öland |
E22734
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Köpingsvik
Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
|
E138503
|
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: Köpingsvik | Statement: [Öland, hasSettlement, Köpingsvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köpingsvik Context triple: [Öland, hasSettlement, Köpingsvik]
-
A.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
B.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
-
C.
Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
-
D.
Viksjö
Viksjö is a residential district and suburb of Stockholm located within Järfälla Municipality in Sweden.
-
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: Köpingsvik Triple: [Öland, hasSettlement, Köpingsvik]
Generated description
Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Köpingsvik Target entity description: Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
-
A.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
B.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
-
C.
Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
-
D.
Viksjö
Viksjö is a residential district and suburb of Stockholm located within Järfälla Municipality in Sweden.
-
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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b644088190a1f0f00f97941298 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f2b76308190a843ccad1ef95f07 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fba00f0819086a0fffa090c5809 |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac807ead9c819088f7195aec87a538 |
completed | March 7, 2026, 7:46 p.m. |
Created at: March 1, 2026, 7:42 p.m.