Triple

T14439801
Position Surface form Disambiguated ID Type / Status
Subject Quarkus E358055 entity
Predicate supportsFramework P9089 FINISHED
Object Vert.x E578403 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: Vert.x | Statement: [Quarkus, supportsFramework, Vert.x]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vert.x
Context triple: [Quarkus, supportsFramework, Vert.x]
  • A. Eclipse Vert.x chosen
    Eclipse Vert.x is a high-performance, event-driven application framework for the Java Virtual Machine designed for building reactive, scalable, and polyglot networked applications.
  • B. Quarkus
    Quarkus is a Kubernetes-native Java framework optimized for fast startup times and low memory usage, designed primarily for building cloud-native and serverless applications.
  • C. Lightbend
    Lightbend is a software company best known for developing the Scala programming language ecosystem and reactive platforms such as the Akka toolkit for building scalable, distributed applications.
  • D. Akka Toolkit
    Akka Toolkit is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM using the actor model.
  • E. Netty
    Netty is a high-performance, asynchronous event-driven network application framework for rapid development of maintainable protocol servers and clients in Java.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.