Triple
T35545419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei Nova 9 SE |
E1027196
|
entity |
| Predicate | fastChargingWattage |
P183228
|
FINISHED |
| Object | 66 W |
—
|
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: 66 W | Statement: [Huawei Nova 9 SE, fastChargingWattage, 66 W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastChargingWattage Context triple: [Huawei Nova 9 SE, fastChargingWattage, 66 W]
-
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.
fastChargingTime
Indicates the amount of time required to charge something (typically a battery or device) using a fast-charging method.
-
C.
superchargerType
Indicates the specific kind or category of supercharger associated with or used by an entity.
-
D.
chargingTime22kW
Indicates the duration required to charge an entity (typically a vehicle or battery) when using a 22 kW charging power.
-
E.
chargingLocation
Indicates the place or facility where an entity is being or can be charged (e.g., electrically powered or re-energized).
- F. None of above. chosen
Provenance (4 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.