Triple
T19138966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raw Materials |
E468503
|
entity |
| Predicate | soundConfiguration |
P40911
|
FINISHED |
| Object | multi-channel audio |
—
|
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: multi-channel audio | Statement: [Raw Materials, soundConfiguration, multi-channel audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundConfiguration Context triple: [Raw Materials, soundConfiguration, multi-channel audio]
-
A.
speakerConfiguration
chosen
Indicates how speakers are arranged or assigned within an audio or communication setup.
-
B.
soundCharacter
Indicates a relationship where one entity specifies the quality, style, or distinguishing characteristics of a sound produced or perceived in another entity.
-
C.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by another entity.
-
D.
soundMotif
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
E.
soundHardware
Indicates that an entity is associated with, uses, or provides sound-related hardware components or capabilities.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ef883c8190829138a560f2a3dc |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.