Triple
T13418216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lofotodden National Park |
E313268
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Hermannsdalstinden
Hermannsdalstinden is a prominent mountain peak in Norway’s Lofoten archipelago, renowned for its dramatic alpine scenery and challenging hiking routes.
|
E1038296
|
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: Hermannsdalstinden | Statement: [Lofotodden National Park, highestPoint, Hermannsdalstinden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermannsdalstinden Context triple: [Lofotodden National Park, highestPoint, Hermannsdalstinden]
-
A.
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.
-
B.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
C.
Hovdetoppen
Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
-
D.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
E.
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.
- 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: Hermannsdalstinden Triple: [Lofotodden National Park, highestPoint, Hermannsdalstinden]
Generated description
Hermannsdalstinden is a prominent mountain peak in Norway’s Lofoten archipelago, renowned for its dramatic alpine scenery and challenging hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hermannsdalstinden Target entity description: Hermannsdalstinden is a prominent mountain peak in Norway’s Lofoten archipelago, renowned for its dramatic alpine scenery and challenging hiking routes.
-
A.
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.
-
B.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
C.
Hovdetoppen
Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
-
D.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
E.
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.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:39 p.m.