Triple
T28296619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure China |
E713585
|
entity |
| Predicate | networkSeparation |
P168100
|
FINISHED |
| Object | physically isolated from global Azure 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: physically isolated from global Azure network | Statement: [Azure China, networkSeparation, physically isolated from global Azure network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkSeparation Context triple: [Azure China, networkSeparation, physically isolated from global Azure network]
-
A.
networkDivision
Indicates a relationship where a larger network is partitioned or segmented into smaller, distinct subnetworks or sections.
-
B.
networkSection
Indicates that one entity represents a specific section, segment, or subdivision within a larger network structure.
-
C.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
D.
networkScale
Indicates the relative size, capacity, or extent of a network in terms of its reach or resources.
-
E.
networkCenter
Indicates that an entity functions as the central or primary hub within a network, coordinating or connecting other nodes.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 27, 2026, 11:32 p.m.