Triple
T35386942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-Switch |
E1022814
|
entity |
| Predicate | audioCue |
P100410
|
FINISHED |
| Object | plays a distinctive timer sound when activated |
—
|
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: plays a distinctive timer sound when activated | Statement: [P-Switch, audioCue, plays a distinctive timer sound when activated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioCue Context triple: [P-Switch, audioCue, plays a distinctive timer sound when activated]
-
A.
auditoryIconOf
Indicates that one entity is an auditory icon that sonically represents, symbolizes, or stands in for another entity or concept.
-
B.
soundMotif
chosen
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
C.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by another entity.
-
D.
audioFocus
Indicates that one entity has priority or control over audio playback or attention relative to other potential audio sources.
-
E.
audioApplication
Indicates that an entity is an application whose primary function involves processing, playing, recording, or otherwise handling audio content.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f649648190a79d90e6e67fe2dc |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.