Triple
T19032273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3-5 Pigadia Ski Resort |
E465769
|
entity |
| Predicate | snowSource |
P69360
|
FINISHED |
| Object | natural snowfall |
—
|
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: natural snowfall | Statement: [3-5 Pigadia Ski Resort, snowSource, natural snowfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowSource Context triple: [3-5 Pigadia Ski Resort, snowSource, natural snowfall]
-
A.
snowAccess
Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
-
B.
snowLine
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
C.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
D.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
E.
primarySnowSource
chosen
Indicates that one entity serves as the main origin or contributor of snow for another entity or location.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.