Triple
T1892081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PlayStation 5 |
E41894
|
entity |
| Predicate | supports3DAudio |
P203
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [PlayStation 5, supports3DAudio, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supports3DAudio Context triple: [PlayStation 5, supports3DAudio, yes]
-
A.
supportsMultiRoomAudio
Indicates that the subject is capable of playing synchronized audio across multiple rooms or speakers simultaneously.
-
B.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
C.
supportsStereoPairing
Indicates that an entity is capable of being paired with another similar entity to function together as a synchronized stereo audio system.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
hasLFEChannels
Indicates that an entity includes or is associated with one or more Low-Frequency Effects (LFE) audio channels.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb145f96c8190a71bb9e442892e68 |
completed | March 7, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69abafe61bc48190ac9ead027df930e1 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.