Triple
T18353630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quad Stage |
E439732
|
entity |
| Predicate | soundReinforcement |
P35158
|
FINISHED |
| Object | amplified sound system |
—
|
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: amplified sound system | Statement: [Quad Stage, soundReinforcement, amplified sound system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundReinforcement Context triple: [Quad Stage, soundReinforcement, amplified sound system]
-
A.
soundEngineering
Indicates the relationship in which an entity designs, manipulates, or manages audio elements and acoustics for recording, production, or live sound.
-
B.
soundAmplification
chosen
Indicates that one entity increases the loudness or intensity of another entity’s sound.
-
C.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
D.
hasAcousticsSuitableFor
Indicates that something possesses acoustic properties that are appropriate or well-suited for a particular use, activity, or environment.
-
E.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d37bc08190abc9b4e8c937c914 |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.