Triple
T15694246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bognes–Skarberget ferry |
E380414
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Tysfjorden |
—
|
NE NERFINISHED |
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: Tysfjorden | Statement: [Bognes–Skarberget ferry, crosses, Tysfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tysfjorden Context triple: [Bognes–Skarberget ferry, crosses, Tysfjorden]
-
A.
Tysfjorden
chosen
Tysfjorden is a dramatic fjord in Nordland county, northern Norway, known for its steep mountains, deep waters, and scenic Arctic landscapes.
-
B.
Strindfjorden
Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
-
C.
Namsenfjorden
Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
-
D.
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.
-
E.
Dalsfjorden
Dalsfjorden is a fjord in western Norway known for its steep surrounding mountains, deep waters, and small coastal settlements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f50ce848190a839c4fb7306d793 |
completed | April 16, 2026, 2:54 a.m. |
Created at: April 10, 2026, 4:44 a.m.