Triple
T26379125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Adaptive Fast Charging |
E660974
|
entity |
| Predicate | powerProfileType |
P166615
|
FINISHED |
| Object | proprietary |
—
|
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: proprietary | Statement: [Samsung Adaptive Fast Charging, powerProfileType, proprietary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerProfileType Context triple: [Samsung Adaptive Fast Charging, powerProfileType, proprietary]
-
A.
powersType
Indicates that one entity has a specific type or category of power or ability in relation to another entity.
-
B.
powerManagementFeatures
Indicates that one entity provides, supports, or is associated with capabilities for controlling, optimizing, or conserving the power usage of another entity.
-
C.
powerCondition
Indicates that one entity’s ability to function, operate, or exert influence depends on a specified power-related requirement or state being satisfied.
-
D.
powerOption
Indicates that one entity provides or specifies a particular power-related configuration or choice available to another entity.
-
E.
powerOptimized
Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 26, 2026, 11:03 p.m.