Triple
T5859863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cervinia |
E130248
|
entity |
| Predicate | hasSkiAreaType |
P35252
|
FINISHED |
| Object | high-altitude |
—
|
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: high-altitude | Statement: [Cervinia, hasSkiAreaType, high-altitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiAreaType Context triple: [Cervinia, hasSkiAreaType, high-altitude]
-
A.
skiAreaType
chosen
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
B.
hasSkiLiftType
Indicates the specific type or category of ski lift associated with an entity.
-
C.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
-
D.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
E.
hasSkiableArea
Indicates that an entity possesses an area of terrain that can be used for skiing.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.