Triple

T5017106
Position Surface form Disambiguated ID Type / Status
Subject Oracle WebLogic Server E112761 entity
Predicate supportsTechnology P5090 FINISHED
Object Java Servlets E355663 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: Java Servlets | Statement: [Oracle WebLogic Server, supportsTechnology, Java Servlets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Servlets
Context triple: [Oracle WebLogic Server, supportsTechnology, Java Servlets]
  • A. Java servlets chosen
    Java servlets are server-side Java programs that extend web servers to handle HTTP requests and generate dynamic web content in Java-based web applications.
  • B. 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.
  • C. JSP
    JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
  • D. Jakarta Server Faces
    Jakarta Server Faces is a component-based web framework for building server-side user interfaces in Java enterprise applications.
  • E. Apache Struts
    Apache Struts is an open-source Java web application framework widely used for building enterprise-grade, MVC-based web applications.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd734037a88190a950db814412a023 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9278421c8190b142466c099c7d1c completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.