Triple
T27832993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Azure Virtual Machines |
E703151
|
entity |
| Predicate | hasVMSizeFamily |
P163392
|
FINISHED |
| Object | General purpose |
—
|
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: General purpose | Statement: [Microsoft Azure Virtual Machines, hasVMSizeFamily, General purpose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVMSizeFamily Context triple: [Microsoft Azure Virtual Machines, hasVMSizeFamily, General purpose]
-
A.
supportsVirtualStorageSize
Indicates that one entity provides or is compatible with a configurable or non-physical (virtual) storage capacity for another entity.
-
B.
hasVirtualMachine
Indicates that one entity possesses, contains, or is associated with a virtual machine instance.
-
C.
hasVariantFamily
Indicates that one entity is related to another as a different version, type, or family variant of it.
-
D.
hasSizeSystem
Indicates that an entity is associated with or defined according to a particular size measurement system.
-
E.
hasWordSize
Indicates that an entity possesses or is characterized by a specific word length or word-based size.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6389e32ec8190aad8e24090ec980a |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:57 p.m.