Triple
T13227982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | smart EQ forfour |
E314929
|
entity |
| Predicate | chargingTime22kW |
P108624
|
FINISHED |
| Object | around 40 minutes from 10% to 80% |
—
|
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: around 40 minutes from 10% to 80% | Statement: [smart EQ forfour, chargingTime22kW, around 40 minutes from 10% to 80%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chargingTime22kW Context triple: [smart EQ forfour, chargingTime22kW, around 40 minutes from 10% to 80%]
-
A.
chargingModel
Indicates the pricing or billing scheme applied to an entity, such as how costs are calculated or charged.
-
B.
chargingLocation
Indicates the place or facility where an entity is being or can be charged (e.g., electrically powered or re-energized).
-
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.
charging
Indicates that one entity is supplying electrical energy to another entity’s battery or power storage system.
-
E.
requiresCharging
Indicates that an entity depends on being recharged (e.g., with electrical power or energy) in order to function or continue operating.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:21 p.m.