Triple
T7370843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skogsön |
E169996
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bogesund
Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
|
E661655
|
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: Bogesund | Statement: [Skogsön, locatedNear, Bogesund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogesund Context triple: [Skogsön, locatedNear, Bogesund]
-
A.
Svinesund
Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
-
B.
Frederikssund
Frederikssund is a Danish town and municipality located on the island of Zealand, known for its Viking heritage and position along the Roskilde Fjord.
-
C.
Bellsund
Bellsund is a fjord on the west coast of Spitsbergen in the Svalbard archipelago, known for its Arctic landscapes, wildlife, and historical sites from early whaling and mining activities.
-
D.
Forlandsundet
Forlandsundet is a strait in the Svalbard archipelago that separates the island of Prins Karls Forland from the west coast of Spitsbergen.
-
E.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
- 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: Bogesund Triple: [Skogsön, locatedNear, Bogesund]
Generated description
Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bogesund Target entity description: Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
-
A.
Svinesund
Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
-
B.
Frederikssund
Frederikssund is a Danish town and municipality located on the island of Zealand, known for its Viking heritage and position along the Roskilde Fjord.
-
C.
Bellsund
Bellsund is a fjord on the west coast of Spitsbergen in the Svalbard archipelago, known for its Arctic landscapes, wildlife, and historical sites from early whaling and mining activities.
-
D.
Forlandsundet
Forlandsundet is a strait in the Svalbard archipelago that separates the island of Prins Karls Forland from the west coast of Spitsbergen.
-
E.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f182df5c81908964fbaa3f8ec790 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810de7618819099ab4ff328255d92 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c8118441948190a80873b98ea3fd30 |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8125baee8819084a4008c791d7431 |
completed | March 28, 2026, 5:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.