Triple
T12480312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HarmonyOS |
E298285
|
entity |
| Predicate | initialTargetDevice |
P86660
|
FINISHED |
| Object | smart TVs |
—
|
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 TVs | Statement: [HarmonyOS, initialTargetDevice, smart TVs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialTargetDevice Context triple: [HarmonyOS, initialTargetDevice, smart TVs]
-
A.
targetedDevice
chosen
Indicates that one entity is the specific device toward which another entity’s action, effect, or configuration is directed.
-
B.
launchDevice
Indicates initiating the operation or deployment of a device, typically starting its active functioning or sending it into its intended trajectory or mode of use.
-
C.
firstDevices
Indicates that the related entities are devices that occur or are used first in a sequence, order, or process relative to other devices.
-
D.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
E.
executionDevice
Indicates that an entity serves as the instrument, tool, or device used to carry out or execute a particular action or process.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.