Triple
T7088082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ring Stick Up Cam |
E165125
|
entity |
| Predicate | powerOption |
P74459
|
FINISHED |
| Object | wired power (model-dependent) |
—
|
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: wired power (model-dependent) | Statement: [Ring Stick Up Cam, powerOption, wired power (model-dependent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerOption Context triple: [Ring Stick Up Cam, powerOption, wired power (model-dependent)]
-
A.
powerStatus
Indicates whether an entity is currently powered on, off, or in another defined power state.
-
B.
powerChange
Indicates a change in the level, amount, or state of power associated with an entity over time.
-
C.
powerCycle
Indicates performing a complete off-and-on restart of a device or system to reset its operational state.
-
D.
powerOptimized
Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
-
E.
powerOptimizationFor
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52d26f08190917e5e13b181bdae |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.