Triple
T19334448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCC Compact Classics |
E483584
|
entity |
| Predicate | soundQualityGoal |
P28700
|
FINISHED |
| Object | high-fidelity sound |
—
|
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: high-fidelity sound | Statement: [DCC Compact Classics, soundQualityGoal, high-fidelity sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundQualityGoal Context triple: [DCC Compact Classics, soundQualityGoal, high-fidelity sound]
-
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.
recordQuality
Indicates the assessed level or standard of quality associated with a particular record.
-
C.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
-
D.
noiseReductionGoal
Indicates the intended target level or objective for reducing noise in a given context or system.
-
E.
soundCarrier
Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61643f7b8819088a716e54a579afa |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.