Triple
T30357557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony MZ-1 |
E772188
|
entity |
| Predicate | storageMediumCapacity |
P145361
|
FINISHED |
| Object | up to 74 minutes of audio per MiniDisc |
—
|
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: up to 74 minutes of audio per MiniDisc | Statement: [Sony MZ-1, storageMediumCapacity, up to 74 minutes of audio per MiniDisc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageMediumCapacity Context triple: [Sony MZ-1, storageMediumCapacity, up to 74 minutes of audio per MiniDisc]
-
A.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
B.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
C.
storageCapacityPerDisk
chosen
Indicates the amount of data that can be stored on each individual disk.
-
D.
dataCapacityDigits
Indicates the number of decimal digits used to represent or specify a data capacity value.
-
E.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 7:57 p.m.