Triple
T33956241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SuperPipe |
E870579
|
entity |
| Predicate | halfpipeType |
P177965
|
FINISHED |
| Object | oversized halfpipe |
—
|
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: oversized halfpipe | Statement: [SuperPipe, halfpipeType, oversized halfpipe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: halfpipeType Context triple: [SuperPipe, halfpipeType, oversized halfpipe]
-
A.
skiJumpHillType
Indicates the specific classification or category of a ski jumping hill used in the ski jumping activity or event.
-
B.
skatingElementType
Indicates the specific type or category of a skating element performed or referenced in a skating activity or program.
-
C.
typeOfSkiing
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
D.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
E.
hasPisteType
Indicates that an entity (such as a ski run or trail) is associated with a specific type or category of piste.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.