Triple
T19340429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saanen Airport |
E483739
|
entity |
| Predicate | servesUpscaleResortArea |
P84905
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Saanen Airport, servesUpscaleResortArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesUpscaleResortArea Context triple: [Saanen Airport, servesUpscaleResortArea, yes]
-
A.
servesResortArea
chosen
Indicates that one entity provides services or operational support to a resort area.
-
B.
skiAreaServedBy
Indicates that a ski area is provided with services, access, or support by a specified entity (such as a company, organization, or facility).
-
C.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
D.
isAlpineResort
Indicates that the subject is a resort located in, or characteristic of, an alpine (mountainous) region.
-
E.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
- F. None of above.
Provenance (3 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61856c0948190a3166b3bf3810e43 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.