Triple
T7169088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Echo |
E167144
|
entity |
| Predicate | supportsAudioOutput |
P48651
|
FINISHED |
| Object | built-in speaker |
—
|
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: built-in speaker | Statement: [Amazon Echo, supportsAudioOutput, built-in speaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAudioOutput Context triple: [Amazon Echo, supportsAudioOutput, built-in speaker]
-
A.
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.
-
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.
hasAudioFeature
chosen
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
D.
supportsSpatialAudioWith
Indicates that one entity is compatible with and can provide or enable spatial audio functionality when used with another entity.
-
E.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85c606081909f76d76fc5b90bc8 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1ce5f048190808c378a980f7bb6 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:48 p.m.