Triple
T3426780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nest Audio |
E72245
|
entity |
| Predicate | controlsDeviceType |
P48650
|
FINISHED |
| Object | smart lights |
—
|
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: smart lights | Statement: [Nest Audio, controlsDeviceType, smart lights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsDeviceType Context triple: [Nest Audio, controlsDeviceType, smart lights]
-
A.
connectsDeviceType
Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
-
B.
definesDeviceType
Indicates that one entity specifies or assigns the device type classification of another entity.
-
C.
roleOfDevice
Indicates that a device participates in a situation or system with a specified functional role or purpose.
-
D.
featuresDevice
Indicates that one entity includes, incorporates, or provides the other entity as a device within it or as part of its functionality.
-
E.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.