Triple
T38636458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Bastion |
E937582
|
entity |
| Predicate | networkPlacement |
P173772
|
FINISHED |
| Object | virtual network |
—
|
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 network | Statement: [Azure Bastion, networkPlacement, virtual network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkPlacement Context triple: [Azure Bastion, networkPlacement, virtual network]
-
A.
networkCenter
Indicates that an entity functions as the central or primary hub within a network, coordinating or connecting other nodes.
-
B.
networkComponent
chosen
Indicates that one entity functions as a component or constituent part within the structure or operation of a network associated with the other entity.
-
C.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
D.
networkDesign
Indicates the relationship in which an entity plans, structures, or configures the components and topology of a network to meet specific functional or performance requirements.
-
E.
networkDivision
Indicates a relationship where a larger network is partitioned or segmented into smaller, distinct subnetworks or sections.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.