Triple
T1123896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wi‑Fi 5 |
E24674
|
entity |
| Predicate | supportsSpatialStreams |
P203
|
FINISHED |
| Object | up to 8 spatial streams |
—
|
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: up to 8 spatial streams | Statement: [Wi‑Fi 5, supportsSpatialStreams, up to 8 spatial streams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSpatialStreams Context triple: [Wi‑Fi 5, supportsSpatialStreams, up to 8 spatial streams]
-
A.
supportsMultiRoomAudio
Indicates that the subject is capable of playing synchronized audio across multiple rooms or speakers simultaneously.
-
B.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
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.
supportsAirPlay
Indicates that one entity is capable of sending or receiving media via Apple’s AirPlay streaming protocol in relation to another entity.
-
E.
allowsSpatialCurvature
Indicates that one entity permits or enables the presence or variation of spatial curvature in relation to another entity or context.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.