Triple
T8285402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canonical Ltd. |
E193775
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | MicroK8s |
E724145
|
NE 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: MicroK8s | Statement: [Canonical Ltd., product, MicroK8s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MicroK8s Context triple: [Canonical Ltd., product, MicroK8s]
-
A.
MicroK8s
chosen
MicroK8s is a lightweight, single-package Kubernetes distribution designed by Canonical for easy local development, edge, and IoT deployments.
-
B.
k3s
k3s is a lightweight, certified Kubernetes distribution designed for resource-constrained and edge environments.
-
C.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
-
D.
GKE on-prem
GKE on-prem is Google’s Kubernetes Engine offering that runs in customers’ own data centers as part of the Anthos hybrid cloud platform.
-
E.
Rancher Kubernetes Engine
Rancher Kubernetes Engine is a Kubernetes distribution and management platform by Rancher that simplifies deploying, running, and managing Kubernetes clusters across diverse infrastructure environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952399dc8190914951d4e9e36c38 |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:52 p.m.