Triple

T3495585
Position Surface form Disambiguated ID Type / Status
Subject OM E73841 entity
Predicate associatedAct P37 FINISHED
Object Grails E356937 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: Grails | Statement: [OM, associatedAct, Grails]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grails
Context triple: [OM, associatedAct, Grails]
  • A. Grails framework chosen
    Grails framework is a high-productivity, convention-over-configuration web application framework for the JVM that leverages the Groovy language and integrates tightly with the Spring ecosystem.
  • B. Groovy
    Groovy is a dynamic, optionally-typed programming language for the Java platform that enhances Java with concise syntax, scripting capabilities, and powerful metaprogramming features.
  • C. Ruby on Rails
    Ruby on Rails is a popular open-source web application framework that emphasizes convention over configuration and rapid development for building database-backed applications.
  • D. Spring Boot
    Spring Boot is a Java-based framework that simplifies building and deploying production-ready Spring applications with minimal configuration.
  • E. Play Framework
    Play Framework is a high-velocity, stateless web application framework for Java and Scala that emphasizes developer productivity and reactive, scalable architectures.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbb06fd08190b6c1fadfce4148f0 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373cce4008190beb010b171bc4940 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.