Triple
T26747276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icehotel in Jukkasjärvi |
E674433
|
entity |
| Predicate | Icehotel 365 |
P161191
|
FINISHED |
| Object | permanent ice suite building cooled by solar power |
—
|
LITERAL FINISHED |
How this triple was built (2 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: permanent ice suite building cooled by solar power | Statement: [Icehotel in Jukkasjärvi, Icehotel 365, permanent ice suite building cooled by solar power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Icehotel 365 Context triple: [Icehotel in Jukkasjärvi, Icehotel 365, permanent ice suite building cooled by solar power]
-
A.
The Tourist
Indicates a relationship where an entity is characterized as a visitor or traveler temporarily present in a place rather than a permanent resident.
-
B.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
C.
hasIceBasedTourismSeason
Indicates that a location experiences a distinct tourism season specifically driven by ice-related conditions or activities.
-
D.
Waterline
Indicates the level or line on an object or surface that marks where water reaches or has reached.
-
E.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
- F. None of above. chosen
Provenance (4 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6188630dc8190ba0602ebe2b3ab6b |
completed | May 2, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:52 a.m.