Triple
T26021316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Smart Home ecosystem |
E647157
|
entity |
| Predicate | supportsAutomationFeature |
P203
|
FINISHED |
| Object | routines |
—
|
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: routines | Statement: [Amazon Smart Home ecosystem, supportsAutomationFeature, routines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAutomationFeature Context triple: [Amazon Smart Home ecosystem, supportsAutomationFeature, routines]
-
A.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
B.
supportsMobilityFeature
Indicates that an entity provides or enables a mobility-related capability or feature for another entity.
-
C.
canAutomate
Indicates that one entity has the capability to perform, control, or execute another entity’s process or task automatically without continuous human intervention.
-
D.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
-
E.
supportsExperiment
Indicates that one entity provides the necessary resources, conditions, or assistance for an experiment to be conducted or to function as intended.
- 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_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 22, 2026, 9:04 a.m.