Triple
T14288267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sjernarøyane |
E354235
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Boknafjorden |
E336848
|
NE FINISHED |
How this triple was built (2 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: Boknafjorden | Statement: [Sjernarøyane, partOf, Boknafjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boknafjorden Context triple: [Sjernarøyane, partOf, Boknafjorden]
-
A.
Boknafjorden
chosen
Boknafjorden is a large fjord in Rogaland county in southwestern Norway, known for its many islands and role as an important maritime route.
-
B.
Beisfjorden
Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
-
C.
Finnfjorden
Finnfjorden is a Norwegian fjord located in Troms og Finnmark county, known for its rugged coastal scenery and connection to surrounding straits and waterways.
-
D.
Kirkefjorden
Kirkefjorden is a scenic fjord on the island of Moskenesøya in Norway’s Lofoten archipelago, known for its steep mountainsides and dramatic coastal landscape.
-
E.
Bjørnafjorden
Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ebeb5ec8190afef40d87c74a8a0 |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 1:11 a.m.