Triple
T11351711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Performa 6200CD |
E268852
|
entity |
| Predicate | opticalDriveUsage |
P79778
|
FINISHED |
| Object | CD-based multimedia software |
—
|
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: CD-based multimedia software | Statement: [Performa 6200CD, opticalDriveUsage, CD-based multimedia software]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opticalDriveUsage Context triple: [Performa 6200CD, opticalDriveUsage, CD-based multimedia software]
-
A.
opticalDrive
Indicates that one entity functions as an optical drive (e.g., CD/DVD/Blu-ray reader/writer) for another entity.
-
B.
opticalDiscType
Indicates the specific kind or category of an optical disc involved in the relationship (e.g., CD, DVD, Blu-ray).
-
C.
supportsPhysicalMedia
chosen
Indicates that one entity provides the capability to use, read, or handle physical media formats (such as discs, tapes, or printed materials) associated with another entity.
-
D.
hasInternalHardDrive
Indicates that one entity possesses an internal hard drive as a built-in storage component.
-
E.
hasFloppyDrive
Indicates that an entity is equipped with or includes a floppy disk drive.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.