Triple
T17388910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etne Municipality |
E422763
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Skånevik
Skånevik is a small coastal village in western Norway known for its scenic fjord setting and traditional wooden architecture.
|
E1265563
|
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: Skånevik | Statement: [Etne Municipality, hasSettlement, Skånevik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skånevik Context triple: [Etne Municipality, hasSettlement, Skånevik]
-
A.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
B.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
-
C.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
D.
Köpingsvik
Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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: Skånevik Triple: [Etne Municipality, hasSettlement, Skånevik]
Generated description
Skånevik is a small coastal village in western Norway known for its scenic fjord setting and traditional wooden architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skånevik Target entity description: Skånevik is a small coastal village in western Norway known for its scenic fjord setting and traditional wooden architecture.
-
A.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
B.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
-
C.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
D.
Köpingsvik
Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8c718c81909cb20749aaf12897 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ffb34688190a0a69b069353ced8 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a0585088819082a3cf1858cb2d99 |
completed | May 11, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a0ee35348190a7d412a83ecd2acc |
completed | May 11, 2026, 9:27 a.m. |
Created at: April 10, 2026, 5:45 a.m.