Triple
T28583157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPEG-1 Audio Layer III |
E723429
|
entity |
| Predicate | usesPsychoacousticModel |
P173721
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [MPEG-1 Audio Layer III, usesPsychoacousticModel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPsychoacousticModel Context triple: [MPEG-1 Audio Layer III, usesPsychoacousticModel, yes]
-
A.
usesModulation
Indicates that one entity applies or employs a particular modulation method or scheme in relation to another entity or process.
-
B.
isAcoustic
Indicates that something produces sound using natural resonance or mechanical vibration rather than electronic amplification or synthesis.
-
C.
hasAcousticsSuitableFor
Indicates that something possesses acoustic properties that are appropriate or well-suited for a particular use, activity, or environment.
-
D.
usesHarmonics
Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
-
E.
hasAcousticUse
Indicates that something is used or functions in relation to sound or acoustics.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 28, 2026, 4:16 a.m.