Triple
T8285773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oVirt |
E193782
|
entity |
| Predicate | supportsDataCenterAbstraction |
P82519
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [oVirt, supportsDataCenterAbstraction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDataCenterAbstraction Context triple: [oVirt, supportsDataCenterAbstraction, yes]
-
A.
dataCenterLocation
Indicates the geographical or physical location where a data center is situated or hosted.
-
B.
hasCentralAdministrationIn
Indicates that an organization or entity maintains its primary central administrative authority or headquarters in a specified location.
-
C.
supportsDatastoreType
Indicates that one entity is capable of working with, handling, or being compatible with a specified type of datastore.
-
D.
supportsDataReplicationFactor
Indicates that an entity enables, configures, or is compatible with a specified data replication factor for storing or duplicating data.
-
E.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:52 p.m.