Triple
T21741705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPad Air (3rd generation) |
E536673
|
entity |
| Predicate | SIMTechnology |
P110576
|
FINISHED |
| Object | Nano‑SIM |
—
|
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: Nano‑SIM | Statement: [iPad Air (3rd generation), SIMTechnology, Nano‑SIM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SIMTechnology Context triple: [iPad Air (3rd generation), SIMTechnology, Nano‑SIM]
-
A.
supportsSIMInstruction
Indicates that one entity is capable of handling or executing a specified SIM (Subscriber Identity Module) instruction for another entity.
-
B.
hasSIMType
chosen
Indicates that an entity uses or is associated with a specific type or category of SIM (Subscriber Identity Module).
-
C.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
D.
technologyInteractedWith
Indicates that an entity has used, engaged with, or otherwise interacted with a particular technology.
-
E.
hasSimulator
Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7322348190b2145fa922c480ed |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.