Triple
T2555584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Docker |
E56722
|
entity |
| Predicate | hasCommand |
P15534
|
FINISHED |
| Object | docker compose |
E276992
|
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 compose | Statement: [Docker, hasCommand, docker compose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: docker compose Context triple: [Docker, hasCommand, docker compose]
-
A.
Docker Compose
chosen
Docker Compose is a tool that lets you define and run multi-container Docker applications using a simple YAML configuration file.
-
B.
Docker
Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
-
C.
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.
-
D.
Dockerfile
A Dockerfile is a text-based configuration script that defines how to build a Docker container image by specifying its base image, dependencies, configuration, and commands.
-
E.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30eec988190810346bb8b6cb489 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655c8d7c8190bef109b10d04464f |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.