Triple

T5017107
Position Surface form Disambiguated ID Type / Status
Subject Oracle WebLogic Server E112761 entity
Predicate supportsTechnology P5090 FINISHED
Object JavaServer Pages E200572 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: JavaServer Pages | Statement: [Oracle WebLogic Server, supportsTechnology, JavaServer Pages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaServer Pages
Context triple: [Oracle WebLogic Server, supportsTechnology, JavaServer Pages]
  • A. Jakarta Server Pages chosen
    Jakarta Server Pages is a Jakarta EE web technology that enables developers to create dynamic, server-side HTML content using Java-based templates.
  • B. JSP
    JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
  • C. Jakarta Server Faces
    Jakarta Server Faces is a component-based web framework for building server-side user interfaces in Java enterprise applications.
  • D. Java servlets
    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.
  • E. Jakarta Expression Language
    Jakarta Expression Language is a Java-based expression language used in Jakarta EE to simplify access to application data and logic within web and enterprise components.
  • 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.