Triple
T30483492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Air |
E775650
|
entity |
| Predicate | firstRetinaModel |
—
|
GENERATED |
| Object | MacBook Air (Retina, 13-inch, 2018) |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRetinaModel Context triple: [MacBook Air, firstRetinaModel, MacBook Air (Retina, 13-inch, 2018)]
-
A.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
B.
firstFlagshipModel
Indicates that the subject is the earliest or initial flagship model associated with the object, typically marking the first leading or premier product in a series or lineup.
-
C.
firstModelLineOf
Indicates that one entity is the first line of a model or modeling construct associated with another entity.
-
D.
firstModelToFly
Indicates that the subject is the earliest or original model among a set that successfully achieved flight.
-
E.
firstCameraBody
Indicates that one camera body is the initial or primary camera body associated with a given photographer, setup, or camera system.
- F. None of above. chosen
Provenance (1 batch)
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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:13 p.m.