Triple

T19508997
Position Surface form Disambiguated ID Type / Status
Subject Java EE 6 E488097 entity
Predicate includesSpecification P19701 FINISHED
Object JavaServer Faces 2.0 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: JavaServer Faces 2.0 | Statement: [Java EE 6, includesSpecification, JavaServer Faces 2.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaServer Faces 2.0
Context triple: [Java EE 6, includesSpecification, JavaServer Faces 2.0]
  • A. Jakarta Server Faces chosen
    Jakarta Server Faces is a component-based web framework for building server-side user interfaces in Java enterprise applications.
  • B. MyFaces
    MyFaces is an open-source implementation of the Jakarta Server Faces (JSF) framework that provides components and tools for building Java-based web user interfaces.
  • C. Facelets
    Facelets is a powerful view declaration language for building component-based user interfaces in Java web applications, particularly with Jakarta Server Faces.
  • D. Java EE 6
    Java EE 6 is a version of the Java Platform, Enterprise Edition that standardizes APIs and services for building and deploying enterprise-level, web-based, and distributed applications in Java.
  • E. Jakarta Server Pages
    Jakarta Server Pages is a Jakarta EE web technology that enables developers to create dynamic, server-side HTML content using Java-based templates.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351426448190aec1ee26c09faa24 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.