Triple
T13246761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsubishi i-MiEV |
E315424
|
entity |
| Predicate | fastChargingTime |
P108733
|
FINISHED |
| Object | about 30 minutes to 80% with DC fast charger |
—
|
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: about 30 minutes to 80% with DC fast charger | Statement: [Mitsubishi i-MiEV, fastChargingTime, about 30 minutes to 80% with DC fast charger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastChargingTime Context triple: [Mitsubishi i-MiEV, fastChargingTime, about 30 minutes to 80% with DC fast charger]
-
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.
superchargerType
Indicates the specific kind or category of supercharger associated with or used by an entity.
-
C.
chargingModel
Indicates the pricing or billing scheme applied to an entity, such as how costs are calculated or charged.
-
D.
chargingLocation
Indicates the place or facility where an entity is being or can be charged (e.g., electrically powered or re-energized).
-
E.
supportsChargingStandard
Indicates that one entity is compatible with and able to operate using a specified charging standard defined 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5c09f88190bb1566a6d8c073a6 |
completed | April 10, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69d98bcca7d88190a3e68e99ed3a29e6 |
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, 9:23 p.m.