Triple
T9078101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wielka Krokiew |
E217539
|
entity |
| Predicate | hasArtificialSnowmaking |
P35177
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wielka Krokiew, hasArtificialSnowmaking, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtificialSnowmaking Context triple: [Wielka Krokiew, hasArtificialSnowmaking, yes]
-
A.
snowmaking
chosen
Indicates the artificial production of snow, typically by machines, for use in places like ski slopes or winter recreation areas.
-
B.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
C.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
D.
hasSnowType
Indicates that something possesses or is characterized by a particular type or category of snow.
-
E.
usedArtificialIce
Indicates that artificial ice was employed or utilized in the context of the described event or activity.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.