Triple
T969911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HomePod |
E20922
|
entity |
| Predicate | supportsMultiRoomAudio |
P22667
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HomePod, supportsMultiRoomAudio, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultiRoomAudio Context triple: [HomePod, supportsMultiRoomAudio, true]
-
A.
supportsDeviceCount
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
B.
usesEchoCancellation
Indicates that an entity employs echo cancellation techniques to reduce or eliminate echo in audio communication.
-
C.
hasConferenceSpace
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
-
D.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
E.
isMultiStateConference
Indicates that a conference involves participants or activities spanning multiple states rather than being limited to a single state.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4497d688190b59c3a195e377080 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a579888190afb489ac9fe8391c |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.