Triple
T26021354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Smart Home ecosystem |
E647157
|
entity |
| Predicate | supportsEnergyFeature |
P11923
|
FINISHED |
| Object | energy usage tracking |
—
|
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: energy usage tracking | Statement: [Amazon Smart Home ecosystem, supportsEnergyFeature, energy usage tracking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEnergyFeature Context triple: [Amazon Smart Home ecosystem, supportsEnergyFeature, energy usage tracking]
-
A.
supportedPower
Indicates that an entity is capable of providing, handling, or operating at a specified level or range of power.
-
B.
usesEnergy
Indicates that one entity consumes or relies on some form of energy to function, operate, or perform an action.
-
C.
hasEnergyManagement
chosen
Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
-
D.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
E.
hasEnergyInput
Indicates that an entity receives or requires a specified source or form of energy to operate or occur.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 22, 2026, 9:04 a.m.