Triple
T34645486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V2 Supercharger |
E889682
|
entity |
| Predicate | hasLowerMaxPowerThan |
P198424
|
FINISHED |
| Object | V3 Supercharger |
—
|
NE NERFINISHED |
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: V3 Supercharger | Statement: [V2 Supercharger, hasLowerMaxPowerThan, V3 Supercharger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerMaxPowerThan Context triple: [V2 Supercharger, hasLowerMaxPowerThan, V3 Supercharger]
-
A.
hasLowerPowerConsumptionThan
Indicates that one entity uses less power or energy than another entity under comparable conditions.
-
B.
hasLowPowerVariant
Indicates that an entity has a related version or configuration designed to operate with reduced power consumption compared to the standard one.
-
C.
hasLowerThroughputThan
Indicates that one entity’s throughput is less than that of another entity.
-
D.
hasLowerDensityThan
Indicates that one entity has a lower density (mass per unit volume) compared to another entity.
-
E.
reducedPowerOf
Indicates that one entity has a diminished or weakened level of power, authority, or effectiveness relative to another or to its previous state.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
| PDg | Predicate description generation | batch_69fee25c7c548190a2c6e50074a33da4 |
completed | May 9, 2026, 7:29 a.m. |
Created at: May 1, 2026, 2:04 a.m.