Triple

T5838746
Position Surface form Disambiguated ID Type / Status
Subject WSGI E129539 entity
Predicate inspiredBy P9 FINISHED
Object Java Servlet API 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 Servlet API | Statement: [WSGI, inspiredBy, Java Servlet API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Servlet API
Context triple: [WSGI, inspiredBy, Java Servlet API]
  • 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. Java EE
    Java EE is a widely used enterprise-grade Java platform specification for building scalable, distributed, and transactional server-side applications.
  • D. JSP
    JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
  • E. Jakarta Server Faces
    Jakarta Server Faces is a component-based web framework for building server-side user interfaces in Java enterprise 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19a6554819086cdae499f4d2247 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.