Triple
T8414386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARAnyM |
E198697
|
entity |
| Predicate | supportsDiskImageType |
P24486
|
FINISHED |
| Object | virtual disk images |
—
|
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: virtual disk images | Statement: [ARAnyM, supportsDiskImageType, virtual disk images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDiskImageType Context triple: [ARAnyM, supportsDiskImageType, virtual disk images]
-
A.
supportsInstallationMedia
Indicates that one entity is capable of accepting, handling, or working with a specified type of installation media for setup or deployment purposes.
-
B.
supportsPhysicalMedia
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.
-
C.
supportsType
chosen
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
hasImageType
Indicates that an entity is associated with an image of a particular type or format.
-
E.
supportsCloudImages
Indicates that an entity is capable of handling, displaying, or otherwise working with images stored or managed in a cloud environment.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.