Triple
T15555681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geiranger |
E370860
|
entity |
| Predicate | hasViewpoint |
P854
|
FINISHED |
| Object |
Dalsnibba
Dalsnibba is a high mountain viewpoint in Norway famous for its panoramic views over the Geirangerfjord and surrounding alpine landscape.
|
E1164037
|
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: Dalsnibba | Statement: [Geiranger, hasViewpoint, Dalsnibba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalsnibba Context triple: [Geiranger, hasViewpoint, Dalsnibba]
-
A.
Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
-
B.
Dalsgrenda
Dalsgrenda is a small settlement located within Rana Municipality in Nordland county, Norway.
-
C.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
D.
Lögberg
Lögberg is the historic Law Rock at Þingvellir in Iceland, where the Althing, one of the world’s oldest parliaments, traditionally convened and laws were proclaimed.
-
E.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
- 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: Dalsnibba Triple: [Geiranger, hasViewpoint, Dalsnibba]
Generated description
Dalsnibba is a high mountain viewpoint in Norway famous for its panoramic views over the Geirangerfjord and surrounding alpine landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalsnibba Target entity description: Dalsnibba is a high mountain viewpoint in Norway famous for its panoramic views over the Geirangerfjord and surrounding alpine landscape.
-
A.
Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
-
B.
Dalsgrenda
Dalsgrenda is a small settlement located within Rana Municipality in Nordland county, Norway.
-
C.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
D.
Lögberg
Lögberg is the historic Law Rock at Þingvellir in Iceland, where the Althing, one of the world’s oldest parliaments, traditionally convened and laws were proclaimed.
-
E.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456427988190bddea01f5cb159d9 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff470492f48190852ede832157ed10 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47e5647c81909b785a1212c4bc50 |
completed | May 9, 2026, 2:42 p.m. |
Created at: April 10, 2026, 4:09 a.m.