Triple
T37658105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Azure core platform teams |
E937649
|
entity |
| Predicate | technologyStackIncludes |
P21680
|
FINISHED |
| Object | Microsoft .NET |
—
|
NE NERFINISHED |
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: Microsoft .NET | Statement: [Microsoft Azure core platform teams, technologyStackIncludes, Microsoft .NET]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyStackIncludes Context triple: [Microsoft Azure core platform teams, technologyStackIncludes, Microsoft .NET]
-
A.
technologyStack
chosen
Indicates the set of technologies, tools, and platforms used together to build or run a system, application, or project.
-
B.
serviceTechnology
Indicates that a particular technology is used to implement, support, or deliver a given service.
-
C.
softwareIncluded
Indicates that certain software is bundled with, provided alongside, or contained within another item or offering.
-
D.
platformIncludes
Indicates that a platform contains, supports, or provides access to the specified component, feature, or content.
-
E.
technologyIncludes
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.