Triple

T27764745
Position Surface form Disambiguated ID Type / Status
Subject Cisco Unified Border Element E701569 entity
Predicate supportsManagementFeature P42910 FINISHED
Object Cisco Prime Collaboration
Cisco Prime Collaboration is a network management application that provides centralized monitoring, provisioning, and troubleshooting for Cisco voice, video, and unified communications environments.
E1789969 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: Cisco Prime Collaboration | Statement: [Cisco Unified Border Element, supportsManagementFeature, Cisco Prime Collaboration]
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: Cisco Prime Collaboration
Triple: [Cisco Unified Border Element, supportsManagementFeature, Cisco Prime Collaboration]
Generated description
Cisco Prime Collaboration is a network management application that provides centralized monitoring, provisioning, and troubleshooting for Cisco voice, video, and unified communications environments.

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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_6a000ab7b7a08190a7a19d5600ae8c7f completed May 10, 2026, 4:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecb55e588190bf8fc3acb96a6043 completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed49266881909fd55a7028ad6a1f completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee215b4c8190aeef56575c0c0015 completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 4:29 p.m.