Triple
T2456024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpine Valley (Ohio) |
E54422
|
entity |
| Predicate | hasTypeOfSnowmaking |
P35177
|
FINISHED |
| Object | artificial snowmaking |
—
|
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: artificial snowmaking | Statement: [Alpine Valley (Ohio), hasTypeOfSnowmaking, artificial snowmaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfSnowmaking Context triple: [Alpine Valley (Ohio), hasTypeOfSnowmaking, artificial snowmaking]
-
A.
snowmaking
chosen
Indicates the artificial production of snow, typically by machines, for use in places like ski slopes or winter recreation areas.
-
B.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
C.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
D.
hasIceShelf
Indicates that a glacier, ice sheet, or coastline possesses an attached floating extension of ice known as an ice shelf.
-
E.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:44 p.m.