Triple
T9883475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofoten district |
E180868
|
entity |
| Predicate | hasNaturalAttraction |
P5121
|
FINISHED |
| Object |
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
|
E827646
|
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: Narvikfjellet | Statement: [Ofoten district, hasNaturalAttraction, Narvikfjellet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narvikfjellet Context triple: [Ofoten district, hasNaturalAttraction, Narvikfjellet]
-
A.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
B.
Skinnarviksberget
Skinnarviksberget is a rocky hill and popular viewpoint on Södermalm in central Stockholm, known for its panoramic views over the city and Lake Mälaren.
-
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.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
-
E.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
- 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: Narvikfjellet Triple: [Ofoten district, hasNaturalAttraction, Narvikfjellet]
Generated description
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narvikfjellet Target entity description: Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
A.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
B.
Skinnarviksberget
Skinnarviksberget is a rocky hill and popular viewpoint on Södermalm in central Stockholm, known for its panoramic views over the city and Lake Mälaren.
-
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.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
-
E.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb453b388819095a5070399d9788d |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaf0afcc81908d263df7651958e2 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1eb9ac5108190aa5287d729ffb7d0 |
completed | April 5, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ec080cd081909d167f906c284eeb |
completed | April 5, 2026, 4:58 a.m. |
Created at: March 30, 2026, 8:38 p.m.