Triple
T14002003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boknafjorden |
E336848
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Hundvåg
Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
|
E1127764
|
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: Hundvåg | Statement: [Boknafjorden, hasIsland, Hundvåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hundvåg Context triple: [Boknafjorden, hasIsland, Hundvåg]
-
A.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
B.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
C.
Svelvik
Svelvik is a small coastal town and former municipality in Vestfold og Telemark county, Norway, situated along the Drammensfjord.
-
D.
Gressvik
Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
-
E.
Berlevåg
Berlevåg is a small coastal town and municipality in Troms og Finnmark county in northern Norway, known for its fishing industry and exposed location on the Barents Sea.
- 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: Hundvåg Triple: [Boknafjorden, hasIsland, Hundvåg]
Generated description
Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hundvåg Target entity description: Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
-
A.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
B.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
C.
Svelvik
Svelvik is a small coastal town and former municipality in Vestfold og Telemark county, Norway, situated along the Drammensfjord.
-
D.
Gressvik
Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
-
E.
Berlevåg
Berlevåg is a small coastal town and municipality in Troms og Finnmark county in northern Norway, known for its fishing industry and exposed location on the Barents Sea.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e72b9f08190a33e8e20541edd21 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f9ea5848190af5edd6d2d22c117 |
completed | May 9, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7ff91dec8190aa9f0d42a8cd00e0 |
completed | May 9, 2026, 12:29 a.m. |
Created at: April 9, 2026, 10:19 p.m.