Triple
T641421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 7 |
E16746
|
entity |
| Predicate | hasReverseWirelessCharging |
P10590
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pixel 7, hasReverseWirelessCharging, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReverseWirelessCharging Context triple: [Pixel 7, hasReverseWirelessCharging, yes]
-
A.
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.
-
B.
supportsPowerDelivery
Indicates that one entity is capable of providing electrical power to another entity through a compatible interface or connection.
-
C.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
D.
chargingPortType
Indicates the specific kind of connector or interface used for charging a device.
-
E.
supportsBidirectionalPower
chosen
Indicates that an entity can both supply and receive power, allowing electrical energy to flow in either direction between connected systems.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f02bc2c8190b8a92b2505768c19 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0830008190a26ee158ed4dd1fe |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.