Triple
T19451094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 15 series |
E486614
|
entity |
| Predicate | rearCameraCountStandardModels |
P17635
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [iPhone 15 series, rearCameraCountStandardModels, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rearCameraCountStandardModels Context triple: [iPhone 15 series, rearCameraCountStandardModels, 2]
-
A.
rearCameraCount
chosen
Indicates the number of camera units located on the rear side of a device.
-
B.
frontCameraCount
Indicates the number of front-facing cameras associated with an entity.
-
C.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
D.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
E.
rearCameraFeature
Indicates that an entity has a specific characteristic, capability, or attribute related to its rear-facing 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.