Triple
T1690301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface Duo |
E36535
|
entity |
| Predicate | wirelessCharging |
P17641
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Surface Duo, wirelessCharging, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wirelessCharging Context triple: [Surface Duo, wirelessCharging, no]
-
A.
supportsWirelessCharging
chosen
Indicates that one entity provides the capability for another entity to be charged without a physical wired connection, typically via inductive or similar wireless power transfer methods.
-
B.
wirelessChargingStandard
Indicates that one entity specifies or supports the particular wireless charging protocol or standard used by another entity.
-
C.
fastChargingCapability
Indicates that an entity has the ability to charge at a higher-than-standard power rate, significantly reducing the time needed to reach a usable or full charge.
-
D.
supportsPowerDelivery
Indicates that one entity is capable of providing electrical power to another entity through a compatible interface or connection.
-
E.
rechargeable
Indicates that an entity can have its stored energy replenished, typically by being connected to a power source, and thus can be used repeatedly rather than discarded after a single use.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.