Triple
T11213136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2024 iPad Pro lineup |
E265358
|
entity |
| Predicate | cameraPlacement |
P43677
|
FINISHED |
| Object | landscape front camera orientation |
—
|
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: landscape front camera orientation | Statement: [2024 iPad Pro lineup, cameraPlacement, landscape front camera orientation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraPlacement Context triple: [2024 iPad Pro lineup, cameraPlacement, landscape front camera orientation]
-
A.
cameraConfiguration
chosen
Indicates the specific setup or arrangement of a camera’s parameters or components in a given context.
-
B.
meetsInCamera
Indicates that two or more entities are physically present together in the same camera frame or shot at the same time.
-
C.
conePosition
Indicates the spatial position or placement of a cone relative to a reference frame or environment.
-
D.
cameraStyle
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
-
E.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.