Triple
T16983306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart Stadium |
E411997
|
entity |
| Predicate | cameraElement |
P20442
|
FINISHED |
| Object | dynamic camera pans |
—
|
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: dynamic camera pans | Statement: [Mario Kart Stadium, cameraElement, dynamic camera pans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraElement Context triple: [Mario Kart Stadium, cameraElement, dynamic camera pans]
-
A.
mainCameraSensor
Indicates that an entity functions as the primary camera sensor for another entity.
-
B.
cameraConfiguration
Indicates the specific setup or arrangement of a camera’s parameters or components in a given context.
-
C.
cameraStyle
chosen
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
-
D.
cameraTechnology
Indicates the type or characteristics of camera-related technology associated with an entity.
-
E.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d188ede48190baead48aac84c78d |
completed | April 18, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.