Triple
T15216556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fløibanen |
E363650
|
entity |
| Predicate | offersViewOf |
P3821
|
FINISHED |
| Object | Byfjorden |
E363649
|
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: Byfjorden | Statement: [Fløibanen, offersViewOf, Byfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byfjorden Context triple: [Fløibanen, offersViewOf, Byfjorden]
-
A.
Byfjorden
chosen
Byfjorden is a coastal fjord in western Norway that forms the main seaway and natural harbor area adjacent to the city of Bergen.
-
B.
Byfjorden
Byfjorden is a coastal fjord in western Sweden known for its scenic waters and proximity to the town of Uddevalla.
-
C.
Beisfjorden
Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
-
D.
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.
-
E.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d445c4848190b5c97bb27be6c749 |
completed | May 10, 2026, 6:53 p.m. |
Created at: April 10, 2026, 3:11 a.m.