Triple
T17963714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen MEB platform |
E449147
|
entity |
| Predicate | supportsMultipleBatteryCapacities |
P129932
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Volkswagen MEB platform, supportsMultipleBatteryCapacities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultipleBatteryCapacities Context triple: [Volkswagen MEB platform, supportsMultipleBatteryCapacities, true]
-
A.
numberOfBatteries
Indicates the quantity of batteries associated with a given entity or object.
-
B.
hasBackupBattery
Indicates that an entity is equipped with an additional battery intended to provide power when the primary power source is unavailable or fails.
-
C.
hasInternalBattery
Indicates that one entity possesses a built-in power source contained within itself, rather than relying solely on external power.
-
D.
canHoldAdditionalChargeOf
Indicates that one entity has the capacity to store or accommodate an additional specified amount of electric charge beyond its current level.
-
E.
batteryCapacity
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b135cd2c8190a6190cf6611dbe08 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.