Triple

T11654968
Position Surface form Disambiguated ID Type / Status
Subject Docker Compose E276992 entity
Predicate supports P516 FINISHED
Object Docker networks E56722 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: Docker networks | Statement: [Docker Compose, supports, Docker networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Docker networks
Context triple: [Docker Compose, supports, Docker networks]
  • A. Docker chosen
    Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
  • B. Docker Swarm
    Docker Swarm is a native clustering and orchestration tool for Docker containers that enables users to deploy, manage, and scale containerized applications across multiple hosts.
  • C. Docker Compose
    Docker Compose is a tool that lets you define and run multi-container Docker applications using a simple YAML configuration file.
  • D. Container Network Interface
    Container Network Interface (CNI) is a standardized plugin framework that defines how container runtimes configure networking for containers in environments like Kubernetes.
  • E. Linux containers
    Linux containers are lightweight, isolated environments that package applications and their dependencies to run consistently across different Linux systems using shared operating system resources.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee88166900819095063f045be44bed completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.