Triple
T21225976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offline Charging System |
E523083
|
entity |
| Predicate | timeOfCharging |
P143278
|
FINISHED |
| Object | after service consumption |
—
|
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: after service consumption | Statement: [Offline Charging System, timeOfCharging, after service consumption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfCharging Context triple: [Offline Charging System, timeOfCharging, after service consumption]
-
A.
charging
Indicates that one entity is supplying electrical energy to another entity’s battery or power storage system.
-
B.
chargingModel
Indicates the pricing or billing scheme applied to an entity, such as how costs are calculated or charged.
-
C.
fastChargingTime
Indicates the amount of time required to charge something (typically a battery or device) using a fast-charging method.
-
D.
chargingTime22kW
Indicates the duration required to charge an entity (typically a vehicle or battery) when using a 22 kW charging power.
-
E.
chargingInterface
Indicates that one entity serves as a power/energy charging connection or port used by another entity.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ab3f6c819083e277ea1c33134e |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:44 p.m.