Triple
T32415685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure workloads |
E828325
|
entity |
| Predicate | canBeHostedIn |
P86781
|
FINISHED |
| Object | multiple Azure regions |
—
|
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 Azure regions | Statement: [Azure workloads, canBeHostedIn, multiple Azure regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeHostedIn Context triple: [Azure workloads, canBeHostedIn, multiple Azure regions]
-
A.
mayBeHostedBy
chosen
Indicates that an entity has the possibility or option of being hosted or accommodated by another entity.
-
B.
hostedWithin
Indicates that one entity is contained, organized, or held inside the scope, space, or context of another entity.
-
C.
hostedOn
Indicates that one entity operates, resides, or is made available on another entity that provides the underlying platform or infrastructure.
-
D.
hasBeenHostedIn
Indicates that an event, show, or activity took place or was conducted at a particular location or venue in the past.
-
E.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 12:54 a.m.