Triple
T30350265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD DVD |
E771971
|
entity |
| Predicate | storageCapacityDualLayer |
P85656
|
FINISHED |
| Object | 30 GB |
—
|
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: 30 GB | Statement: [HD DVD, storageCapacityDualLayer, 30 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageCapacityDualLayer Context triple: [HD DVD, storageCapacityDualLayer, 30 GB]
-
A.
storageCapacityDualLayerDoubleSided
Indicates the total data storage capacity of a medium that uses dual layers on both sides (double-sided) for recording.
-
B.
storageCapacityDualLayerSingleSided
chosen
Indicates the amount of data that can be stored on a dual-layer, single-sided storage medium.
-
C.
diskSidesSupported
Indicates how many and which sides of a disk the system or device is capable of reading from or writing to.
-
D.
hasDualSpace
Indicates that one mathematical space is the dual space consisting of all linear functionals defined on another space.
-
E.
opticalDiscType
Indicates the specific kind or category of an optical disc involved in the relationship (e.g., CD, DVD, Blu-ray).
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820b4b8c81908f5bbae956565ec0 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:56 p.m.