Triple

T300503
Position Surface form Disambiguated ID Type / Status
Subject YANG modeling language E6186 entity
Predicate usedIn P98 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: [YANG modeling language, usedIn, RESTCONF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RESTCONF
Context triple: [YANG modeling language, usedIn, 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. 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.
  • E. YANG modeling language
    YANG modeling language is a data modeling language used to define the structure and configuration of network devices and services, particularly in modern network management and automation systems.
  • 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_69a3aba14b0881908eb4f62ac9261d63 completed March 1, 2026, 2:59 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.