Triple
T10973690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VHS |
E259313
|
entity |
| Predicate | analogOrDigital |
P93
|
FINISHED |
| Object | analog |
—
|
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: analog | Statement: [VHS, analogOrDigital, analog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analogOrDigital Context triple: [VHS, analogOrDigital, analog]
-
A.
isAnalogOrDigital
chosen
Indicates whether something operates using analog signals/representation or digital signals/representation.
-
B.
usedAsAnalogFor
Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand another entity.
-
C.
supportsAnalogOnly
Indicates that the subject provides or is compatible only with analog functionality, and does not support any digital capabilities.
-
D.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
-
E.
analogChannel
Indicates a relationship where a channel carries or transmits signals in analog (continuously varying) form rather than digital form.
- 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.