Triple
T8285865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proxmox VE |
E193783
|
entity |
| Predicate | supportsClusterSize |
P81262
|
FINISHED |
| Object | multiple nodes |
—
|
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: multiple nodes | Statement: [Proxmox VE, supportsClusterSize, multiple nodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsClusterSize Context triple: [Proxmox VE, supportsClusterSize, multiple nodes]
-
A.
clusterSizeRange
chosen
Indicates the range of allowable or observed sizes for a given cluster within a specified context.
-
B.
supportsCityCluster
Indicates that one entity provides the necessary resources, infrastructure, or services for a specific city cluster to function or develop.
-
C.
supportsAudienceSize
Indicates that one entity is capable of accommodating or handling an audience of a specified size.
-
D.
maximumClusterCount
Indicates the highest number of clusters that are allowed or can be formed in a given context.
-
E.
supportsMultiblockAllocation
Indicates that an entity can handle allocating or managing multiple blocks of resources or memory in a single operation.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad3722481908076508908d18621 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.