Triple
T5264280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AirPods Max |
E118901
|
entity |
| Predicate | batteryLifeWithSpatialAudio |
P25992
|
FINISHED |
| Object | up to 20 hours |
—
|
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 20 hours | Statement: [AirPods Max, batteryLifeWithSpatialAudio, up to 20 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batteryLifeWithSpatialAudio Context triple: [AirPods Max, batteryLifeWithSpatialAudio, up to 20 hours]
-
A.
batteryLife
chosen
Indicates how long a device can operate on a single charge or set of batteries before needing to be recharged or replaced.
-
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.
supportsAudioReturnChannel
Indicates that one entity is capable of handling an audio return channel from another entity, allowing audio to be sent back over the same connection.
-
D.
supportsMultiRoomAudio
Indicates that the subject is capable of playing synchronized audio across multiple rooms or speakers simultaneously.
-
E.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.