Triple
T16775802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vik Municipality |
E407718
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Vangsnes
Vangsnes is a small village in western Norway known for its scenic location along the Sognefjorden and its historic connections to Norwegian emigration and cultural heritage.
|
E1249294
|
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: Vangsnes | Statement: [Vik Municipality, hasSettlement, Vangsnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vangsnes Context triple: [Vik Municipality, hasSettlement, Vangsnes]
-
A.
Vangsnes
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
B.
Vedvik
Vedvik is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
-
C.
Fosnes
Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
-
D.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
E.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
- 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: Vangsnes Triple: [Vik Municipality, hasSettlement, Vangsnes]
Generated description
Vangsnes is a small village in western Norway known for its scenic location along the Sognefjorden and its historic connections to Norwegian emigration and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vangsnes Target entity description: Vangsnes is a small village in western Norway known for its scenic location along the Sognefjorden and its historic connections to Norwegian emigration and cultural heritage.
-
A.
Vangsnes
chosen
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
B.
Vedvik
Vedvik is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
-
C.
Fosnes
Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
-
D.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
E.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
- F. None of above.
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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b039a2a88190865e6a42c830c54d |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f08ba3308190bf0c338969717e28 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1f144988190b2201c0f7c2464de |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f356e48c81908d74414b736303a4 |
completed | May 13, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:22 a.m.