Triple
T3426791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nest Audio |
E72245
|
entity |
| Predicate | hasAudioFeature |
P48651
|
FINISHED |
| Object | built-in woofer |
—
|
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 woofer | Statement: [Nest Audio, hasAudioFeature, built-in woofer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudioFeature Context triple: [Nest Audio, hasAudioFeature, built-in woofer]
-
A.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
B.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
C.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
D.
hasOrchestralFeature
Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
-
E.
usesAudioFrom
Indicates that one entity incorporates or relies on the audio content produced or provided by another entity.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.