Triple
T12318881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 15 Pro Max |
E293675
|
entity |
| Predicate | opticalZoomMax |
P20532
|
FINISHED |
| Object | 5x |
—
|
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: 5x | Statement: [iPhone 15 Pro Max, opticalZoomMax, 5x]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opticalZoomMax Context triple: [iPhone 15 Pro Max, opticalZoomMax, 5x]
-
A.
telephotoOpticalZoom
chosen
Indicates that the relationship involves zooming in optically with a telephoto lens to magnify a subject without digital enlargement.
-
B.
viewfinderMagnification
Indicates the degree to which the viewfinder enlarges the scene relative to the naked eye.
-
C.
maximumResolution
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
D.
digitalZoom
Indicates that an image or video is magnified by digitally enlarging pixels rather than by using optical lens adjustment.
-
E.
typicalMagnification
Indicates the usual or characteristic degree to which something is enlarged or magnified under normal or standard conditions.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.