Triple
T17499106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datadog |
E426146
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Docker |
—
|
NE NERFINISHED |
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 | Statement: [Datadog, integratesWith, Docker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Docker Context triple: [Datadog, integratesWith, Docker]
-
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 Compose
Docker Compose is a tool that lets you define and run multi-container Docker applications using a simple YAML configuration file.
-
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.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
-
E.
Dockers
Dockers is the common nickname for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.