Triple
T7933169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud Deploy |
E184229
|
entity |
| Predicate | deploymentTarget |
P12960
|
FINISHED |
| Object | Anthos clusters |
E184224
|
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: Anthos clusters | Statement: [Cloud Deploy, deploymentTarget, Anthos clusters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthos clusters Context triple: [Cloud Deploy, deploymentTarget, Anthos clusters]
-
A.
Anthos
chosen
Anthos is Google Cloud’s hybrid and multi-cloud application platform that enables consistent deployment and management of containerized applications across on-premises and multiple cloud environments.
-
B.
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.
-
C.
Azure Kubernetes Service
Azure Kubernetes Service is a managed container orchestration platform that simplifies deploying, scaling, and operating Kubernetes clusters in the Microsoft Azure cloud.
-
D.
Google Kubernetes Engine
Google Kubernetes Engine is a managed Kubernetes service that lets users deploy, manage, and scale containerized applications on Google Cloud infrastructure.
-
E.
GKE on Bare Metal
GKE on Bare Metal is a Google Kubernetes Engine deployment option that lets you run and manage Kubernetes clusters directly on your own on‑premises bare metal infrastructure.
- 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_69cb3acfd2a88190b1a13cd6fdedc272 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc564a4fac8190972f9dfa7c026ea8 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:08 p.m.