Triple
T5168328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institut Le Rosey |
E116612
|
entity |
| Predicate | boardersPercentage |
P61915
|
FINISHED |
| Object | 100% |
—
|
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: 100% | Statement: [Institut Le Rosey, boardersPercentage, 100%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardersPercentage Context triple: [Institut Le Rosey, boardersPercentage, 100%]
-
A.
snowboardVenue
Indicates the location or venue where snowboarding takes place or is held.
-
B.
alpineSkiingVenue
Indicates that one entity serves as a venue or location where alpine skiing activities or events take place in relation to another entity.
-
C.
capacityDuring1998WinterOlympics
Indicates the seating or usage capacity of a venue specifically during the period of the 1998 Winter Olympics.
-
D.
isLargestSkiAreaIn
Indicates that a ski area has the greatest size (e.g., by area or extent of slopes) within the specified region or set.
-
E.
hasSkiLiftConnectionTo
Indicates a relationship where one location is directly connected to another by a ski lift, allowing travel between them via that lift.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794b87508190be3b82726ef4b37c |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:45 p.m.