Triple
T11409254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 14 Pro |
E270323
|
entity |
| Predicate | supportsAlwaysOnDisplay |
P17634
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [iPhone 14 Pro, supportsAlwaysOnDisplay, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAlwaysOnDisplay Context triple: [iPhone 14 Pro, supportsAlwaysOnDisplay, true]
-
A.
hasAlwaysOnDisplay
chosen
Indicates that an entity features an always-on display capability that remains visible without fully waking the device.
-
B.
sustainedFullScreenBrightness
Indicates that an entity maintains maximum screen brightness continuously for a period of time.
-
C.
supportsDisplayTechnology
Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
-
D.
supportsExternalDisplay
Indicates that an entity is capable of connecting to and functioning with an external display device.
-
E.
supportsWideColorGamut
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.