Triple
T9712832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butane |
E235060
|
entity |
| Predicate | supportsPlatform |
P203
|
FINISHED |
| Object | OKD |
E184324
|
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: OKD | Statement: [Butane, supportsPlatform, OKD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OKD Context triple: [Butane, supportsPlatform, OKD]
-
A.
OKD
OKD is the IATA airport code for Okadama Airport, a regional airport serving Sapporo in Hokkaido, Japan.
-
B.
OpenShift Platform
chosen
OpenShift Platform is Red Hat’s Kubernetes-based container application platform for building, deploying, and managing cloud-native applications across hybrid and multi-cloud environments.
-
C.
OpenShift CLI (oc)
OpenShift CLI (oc) is a command-line tool used to manage and interact with OpenShift clusters, enabling developers and administrators to deploy, configure, and monitor applications and resources.
-
D.
Argo CD
Argo CD is a declarative, GitOps-based continuous delivery tool that automates application deployment and lifecycle management on Kubernetes clusters.
-
E.
OpenKruise
OpenKruise is a cloud-native open source Kubernetes application automation and management project focused on enhancing workload orchestration and deployment capabilities.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.