Triple
T10973713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VHS |
E259313
|
entity |
| Predicate | audioSignalType |
P4618
|
FINISHED |
| Object | linear audio track |
—
|
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: linear audio track | Statement: [VHS, audioSignalType, linear audio track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioSignalType Context triple: [VHS, audioSignalType, linear audio track]
-
A.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
-
B.
audioChannelsType
Indicates the type or configuration of audio channels used in an audio signal or recording (e.g., mono, stereo, surround).
-
C.
signalType
chosen
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
D.
audioCodingType
Indicates the specific method or standard used to encode or compress an audio signal.
-
E.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.