Triple
T7938173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack Glance |
E184331
|
entity |
| Predicate | supportsFormat |
P203
|
FINISHED |
| Object | QCOW2 |
E339026
|
NE 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: QCOW2 | Statement: [OpenStack Glance, supportsFormat, QCOW2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QCOW2 Context triple: [OpenStack Glance, supportsFormat, QCOW2]
-
A.
QCOW (via conversion)
chosen
QCOW (via conversion) is a QEMU Copy-On-Write virtual disk image format that can be used with VirtualBox after being converted from its native format.
-
B.
Avamar
Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
-
C.
Universal 2 binary format
Universal 2 binary format is Apple’s macOS application packaging format that combines both Intel and Apple silicon (ARM) executables into a single app bundle for seamless cross-architecture support.
-
D.
WavPack
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
-
E.
ext2
ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3af0a2048190838d1aeda59fda0b |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0a96ac819099ad30fb925eb329 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.