Triple
T17629109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saas-Grund |
E429927
|
entity |
| Predicate | hasCableCarTo |
P8378
|
FINISHED |
| Object |
Hohsaas
Hohsaas is a high-altitude mountain station and viewpoint in the Swiss Alps, known for its panoramic views of numerous 4,000-meter peaks and access to hiking and skiing areas.
|
E1281036
|
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: Hohsaas | Statement: [Saas-Grund, hasCableCarTo, Hohsaas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohsaas Context triple: [Saas-Grund, hasCableCarTo, Hohsaas]
-
A.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
-
B.
Holtaness
Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
-
C.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
D.
Hjorthagen
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
-
E.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
- 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: Hohsaas Triple: [Saas-Grund, hasCableCarTo, Hohsaas]
Generated description
Hohsaas is a high-altitude mountain station and viewpoint in the Swiss Alps, known for its panoramic views of numerous 4,000-meter peaks and access to hiking and skiing areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohsaas Target entity description: Hohsaas is a high-altitude mountain station and viewpoint in the Swiss Alps, known for its panoramic views of numerous 4,000-meter peaks and access to hiking and skiing areas.
-
A.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
-
B.
Holtaness
Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
-
C.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
D.
Hjorthagen
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
-
E.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbf59dc8190a56aa4a2449b2e2e |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02164cf68c8190801a170ec8acaaf0 |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a0217ca2ec881908573b0423c3610f7 |
completed | May 11, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218636e048190a48bc7f066c7bee1 |
completed | May 11, 2026, 5:56 p.m. |
Created at: April 10, 2026, 5:52 a.m.