Triple
T7938809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud Native Computing Foundation |
E184342
|
entity |
| Predicate | hostsProject |
P2592
|
FINISHED |
| Object | Knative |
E184361
|
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: Knative | Statement: [Cloud Native Computing Foundation, hostsProject, Knative]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knative Context triple: [Cloud Native Computing Foundation, hostsProject, Knative]
-
A.
Knative
chosen
Knative is an open-source Kubernetes-based platform that simplifies building, deploying, and managing serverless and event-driven applications.
-
B.
Cloud Run
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
-
C.
Argo CD
Argo CD is a declarative, GitOps-based continuous delivery tool that automates application deployment and lifecycle management on Kubernetes clusters.
-
D.
Istio
Istio is an open-source service mesh that provides traffic management, security, and observability for microservices running on platforms like Kubernetes.
-
E.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3af0a2048190838d1aeda59fda0b |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0e868481908748d340244ea8ea |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.