Triple
T8611065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | aptX |
E203913
|
entity |
| Predicate | audioQualityGoal |
P28700
|
FINISHED |
| Object | CD-like quality |
—
|
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: CD-like quality | Statement: [aptX, audioQualityGoal, CD-like quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioQualityGoal Context triple: [aptX, audioQualityGoal, CD-like quality]
-
A.
supportsAudioQuality
chosen
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
B.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
-
C.
audioCodingType
Indicates the specific method or standard used to encode or compress an audio signal.
-
D.
noiseReductionGoal
Indicates the intended target level or objective for reducing noise in a given context or system.
-
E.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46fc31e08190aab5ab8f92f3315c |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.