Triple

T27592769
Position Surface form Disambiguated ID Type / Status
Subject Cilium CNI plugin E699819 entity
Predicate supports P516 FINISHED
Object CiliumNetworkPolicy
CiliumNetworkPolicy is a Kubernetes custom resource that defines advanced, identity-aware network security rules for workloads managed by the Cilium CNI plugin.
E699819 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: CiliumNetworkPolicy | Statement: [Cilium CNI plugin, supports, CiliumNetworkPolicy]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CiliumNetworkPolicy
Triple: [Cilium CNI plugin, supports, CiliumNetworkPolicy]
Generated description
CiliumNetworkPolicy is a Kubernetes custom resource that defines advanced, identity-aware network security rules for workloads managed by the Cilium CNI plugin.

Provenance (5 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_69ef6a4d71f081909a1235763206b691 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63055b96c8190b53a73a68c05c133 completed May 2, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0de87648190af1f77af5236da80 completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d169e8888190bf3c8e7f0718a3a5 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d23dc1b48190aa7f52797b82db62 completed May 24, 2026, 10:26 a.m.
Created at: April 27, 2026, 2:05 p.m.