Triple

T300587
Position Surface form Disambiguated ID Type / Status
Subject NETCONF E6187 entity
Predicate relatedStandard P37 FINISHED
Object RESTCONF E6188 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: RESTCONF | Statement: [NETCONF, relatedStandard, RESTCONF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RESTCONF
Context triple: [NETCONF, relatedStandard, RESTCONF]
  • A. RESTCONF chosen
    RESTCONF is a RESTful protocol defined by the IETF for accessing and managing configuration and operational data on network devices using YANG data models.
  • B. NETCONF
    NETCONF is a network management protocol standardized by the IETF that provides mechanisms to install, manipulate, and delete configuration data on network devices using a structured, XML-based approach.
  • C. SNMP
    SNMP (Simple Network Management Protocol) is a standard Internet protocol used to monitor, manage, and configure network devices such as routers, switches, and servers.
  • D. IETF NETCONF Working Group
    The IETF NETCONF Working Group is a standards body team within the Internet Engineering Task Force responsible for developing and maintaining the NETCONF network configuration and management protocol and its related data modeling technologies.
  • E. ThousandEyes
    ThousandEyes is a network intelligence and digital experience monitoring company, best known for its internet and cloud visibility platform that helps organizations troubleshoot and optimize application performance across complex, distributed environments.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e9e6a8308190b9bd15310e324504 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b0732b5c81908f08a37ce720bc04 completed March 1, 2026, 3:20 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.