Triple
T22986723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Cloud |
E571926
|
entity |
| Predicate | hasSkiResortFeature |
P150507
|
FINISHED |
| Object | avalanche-controlled terrain |
—
|
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: avalanche-controlled terrain | Statement: [Little Cloud, hasSkiResortFeature, avalanche-controlled terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiResortFeature Context triple: [Little Cloud, hasSkiResortFeature, avalanche-controlled terrain]
-
A.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
-
B.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
C.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
D.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
-
E.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829a96b8819082e0c6d7fb5d018f |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.