Triple
T25561975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgenèvre |
E640735
|
entity |
| Predicate | hasSkiSlopes |
P150507
|
FINISHED |
| Object | extensive alpine slopes |
—
|
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: extensive alpine slopes | Statement: [Montgenèvre, hasSkiSlopes, extensive alpine slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiSlopes Context triple: [Montgenèvre, hasSkiSlopes, extensive alpine slopes]
-
A.
hasSkiTrails
Indicates that a location or facility includes one or more designated ski trails available for use.
-
B.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
C.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
D.
hasSkiResortFeature
chosen
Indicates that a ski resort possesses or offers a specific feature, amenity, or characteristic.
-
E.
hasSkiAreaSide
Indicates that something is located on or associated with a particular side or slope of a ski area.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8f9bc48819097a98b805f60d5dd |
completed | May 2, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 3:46 p.m.