Triple
T9826838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneeberg |
E238676
|
entity |
| Predicate | skiTouringSeason |
P90214
|
FINISHED |
| Object | winter |
—
|
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: winter | Statement: [Schneeberg, skiTouringSeason, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skiTouringSeason Context triple: [Schneeberg, skiTouringSeason, winter]
-
A.
skiAreaName
Indicates that an entity has a specific name used to identify a ski area.
-
B.
skiAreaLinkedTo
Indicates that one ski area is connected or associated with another, such as through shared lifts, trails, passes, or coordinated operations.
-
C.
skiResortOpeningSeason
Indicates the season or time of year during which a ski resort begins its operations and opens to visitors.
-
D.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
E.
hasSkiRunsLength_km
Indicates the total length, in kilometers, of the ski runs associated with an entity.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb324e7848190b9424a78ca653afe |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:32 p.m.