Triple
T37149573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 5 and later (non-USB-C models) |
E920326
|
entity |
| Predicate | includesModels |
—
|
GENERATED |
| Object | iPhone 5 |
—
|
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: includesModels Context triple: [iPhone 5 and later (non-USB-C models), includesModels, iPhone 5]
-
A.
includesModelsFrom
Indicates that one collection, set, or group contains models that originate from or are derived from another source or collection.
-
B.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
C.
hasModels
chosen
Indicates that an entity possesses, defines, or is associated with one or more models (such as conceptual, mathematical, or data models).
-
D.
hasModelIn
Indicates that an entity is represented or instantiated as a model within a specified context, system, or container.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- F. None of above.
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.