Triple
T31968447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple 60W MagSafe Power Adapter |
E816242
|
entity |
| Predicate | intendedDeviceSize |
P94366
|
FINISHED |
| Object | primarily 13-inch Mac notebooks |
—
|
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: primarily 13-inch Mac notebooks | Statement: [Apple 60W MagSafe Power Adapter, intendedDeviceSize, primarily 13-inch Mac notebooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedDeviceSize Context triple: [Apple 60W MagSafe Power Adapter, intendedDeviceSize, primarily 13-inch Mac notebooks]
-
A.
screenDiameter
Indicates the size of a screen measured across its diagonal.
-
B.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
-
C.
desiredSizeIndicates
chosen
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
-
D.
intendedEquipmentType
Indicates that a particular piece of equipment is the planned or designated type to be used in a given context or activity.
-
E.
screenCapacity
Indicates the maximum number of items or content units that can be displayed on a screen at one time.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 12:10 a.m.