Triple

T1866730
Position Surface form Disambiguated ID Type / Status
Subject Reverse ARP E34937 entity
Predicate configurationModel P2093 FINISHED
Object static server-side mappings LITERAL 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: static server-side mappings | Statement: [Reverse ARP, configurationModel, static server-side mappings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: configurationModel
Context triple: [Reverse ARP, configurationModel, static server-side mappings]
  • A. configuration chosen
    Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
  • B. configurationOptionIn
    Indicates that a specific configuration option belongs to, or is defined within, a particular configuration set, context, or system.
  • C. governanceModel
    Indicates the type or structure of authority, decision-making, and control that defines how an entity is directed and overseen.
  • D. advancedConfigurationTool
    Indicates that an entity functions as a sophisticated tool or system used to manage or modify complex configuration settings or parameters.
  • E. deploymentModel
    Indicates the type or manner in which a system, service, or resource is deployed or made available (e.g., on-premises, cloud, hybrid).
  • F. None of above.

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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb16c09e48190a345c95eab59fd87 completed March 7, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69abafe02c3c819093a4744b476106ca completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.