Triple
T1815695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commodore Amiga 4000 |
E40430
|
entity |
| Predicate | floppyDiskFormat |
P32610
|
FINISHED |
| Object | 3.5-inch DD |
—
|
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: 3.5-inch DD | Statement: [Commodore Amiga 4000, floppyDiskFormat, 3.5-inch DD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floppyDiskFormat Context triple: [Commodore Amiga 4000, floppyDiskFormat, 3.5-inch DD]
-
A.
floppyDriveCapacity
Indicates the storage capacity associated with a floppy drive.
-
B.
hasFloppyDrive
Indicates that an entity is equipped with or includes a floppy disk drive.
-
C.
formerPictureFormat
Indicates that an entity previously used a particular picture format before changing to a different one.
-
D.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
E.
firstReleaseFormat
Indicates the original medium or format in which something (such as a work or product) was first released.
- F. None of above. chosen
Provenance (4 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.