Triple
T9000110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MiniDisc |
E215019
|
entity |
| Predicate | storageMediumType |
P53051
|
FINISHED |
| Object | magneto-optical disc |
—
|
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: magneto-optical disc | Statement: [MiniDisc, storageMediumType, magneto-optical disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageMediumType Context triple: [MiniDisc, storageMediumType, magneto-optical disc]
-
A.
hasPhysicalMedium
chosen
Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
-
B.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
C.
storageOption
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
D.
opticalDiscType
Indicates the specific kind or category of an optical disc involved in the relationship (e.g., CD, DVD, Blu-ray).
-
E.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e3b1f48190bbeafbce363fff53 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.