Triple
T7939801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knative |
E184361
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Knative Serving |
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 Serving | Statement: [Knative, hasComponent, Knative Serving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knative Serving Context triple: [Knative, hasComponent, Knative Serving]
-
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.
Knative Steering Committee
The Knative Steering Committee is the top-level governance body responsible for overseeing the strategic direction, policies, and community leadership of the Knative open-source project.
-
D.
Argo CD
Argo CD is a declarative, GitOps-based continuous delivery tool that automates application deployment and lifecycle management on Kubernetes clusters.
-
E.
Istio
Istio is an open-source service mesh that provides traffic management, security, and observability for microservices running on platforms like Kubernetes.
- 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_69cb3b0983388190a77e8d5d899c5130 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe019a094819082baecdcb007c84f |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:08 p.m.