Triple
T3270780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW i8 |
E68641
|
entity |
| Predicate | batteryCapacity_kWh |
P8443
|
FINISHED |
| Object | 11.6 |
—
|
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: 11.6 | Statement: [BMW i8, batteryCapacity_kWh, 11.6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batteryCapacity_kWh Context triple: [BMW i8, batteryCapacity_kWh, 11.6]
-
A.
batteryCapacity
chosen
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
-
B.
batteryType
Indicates the specific kind or category of battery associated with or used by an entity.
-
C.
netElectricalCapacity_MWe
Indicates the relationship specifying an entity’s net electrical power generation capacity, measured in megawatts electric (MWe), after accounting for internal power consumption.
-
D.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
E.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
- F. None of above.
Provenance (3 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.