Triple
T15216531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fløibanen |
E363650
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Mount Fløyen
Mount Fløyen is a popular mountain and viewpoint overlooking the city of Bergen in Norway, known for its scenic hiking trails and panoramic city and fjord views.
|
E1143509
|
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: Mount Fløyen | Statement: [Fløibanen, locatedOn, Mount Fløyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Fløyen Context triple: [Fløibanen, locatedOn, Mount Fløyen]
-
A.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
B.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
C.
Kolåstinden
Kolåstinden is a prominent alpine peak in Norway’s Sunnmøre Alps, renowned among hikers and ski mountaineers for its steep slopes and panoramic fjord views.
-
D.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
E.
Mount Fagerli
Mount Fagerli is a notable mountain peak in the Allardyce Range of South Georgia, a remote sub-Antarctic island in the southern Atlantic Ocean.
- 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: Mount Fløyen Triple: [Fløibanen, locatedOn, Mount Fløyen]
Generated description
Mount Fløyen is a popular mountain and viewpoint overlooking the city of Bergen in Norway, known for its scenic hiking trails and panoramic city and fjord views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Fløyen Target entity description: Mount Fløyen is a popular mountain and viewpoint overlooking the city of Bergen in Norway, known for its scenic hiking trails and panoramic city and fjord views.
-
A.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
B.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
C.
Kolåstinden
Kolåstinden is a prominent alpine peak in Norway’s Sunnmøre Alps, renowned among hikers and ski mountaineers for its steep slopes and panoramic fjord views.
-
D.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
E.
Mount Fagerli
Mount Fagerli is a notable mountain peak in the Allardyce Range of South Georgia, a remote sub-Antarctic island in the southern Atlantic Ocean.
- 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_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_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:11 a.m.