Triple

T8483432
Position Surface form Disambiguated ID Type / Status
Subject Jakarta Server Pages E200572 entity
Predicate formerlyKnownAs P65 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: [Jakarta Server Pages, formerlyKnownAs, JavaServer Pages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaServer Pages
Context triple: [Jakarta Server Pages, formerlyKnownAs, 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. Java EE
    Java EE is a widely used enterprise-grade Java platform specification for building scalable, distributed, and transactional server-side 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53845e881909eeb32863c7aa942 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a348a8481908a72c7ac15605022 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.