Triple
T32062024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAC-LD |
E818769
|
entity |
| Predicate | supportsSamplingRates |
P206168
|
FINISHED |
| Object | up to 48 kHz |
—
|
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 48 kHz | Statement: [AAC-LD, supportsSamplingRates, up to 48 kHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSamplingRates Context triple: [AAC-LD, supportsSamplingRates, up to 48 kHz]
-
A.
hasSamplingOption
Indicates that an entity is associated with a specific method or configuration for selecting a subset (sample) from a larger set of data or items.
-
B.
hasSampling
Indicates that one entity performs, involves, or is associated with the act or process of sampling in relation to another entity.
-
C.
supportsRateLimiting
Indicates that one entity provides or is compatible with mechanisms to restrict the rate at which another entity can perform actions or process requests.
-
D.
isFrequentlySampled
Indicates that the subject is measured, observed, or taken as a sample on a regular and relatively high-frequency basis.
-
E.
supportsCodeRates
Indicates that one entity is capable of handling, processing, or operating at the specific code rates associated with 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:22 a.m.