Triple

T10019309
Position Surface form Disambiguated ID Type / Status
Subject Jakarta Server Faces E200574 entity
Predicate abbreviation P43 FINISHED
Object JSF E200574 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: JSF | Statement: [Jakarta Server Faces, abbreviation, JSF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSF
Context triple: [Jakarta Server Faces, abbreviation, JSF]
  • 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. JSF program
    The JSF program is a multinational defense initiative led by the United States to develop and produce the F-35 Lightning II family of advanced stealth multirole combat aircraft.
  • E. JSP
    JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b60256b48190829cfdbff0105cc0 completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:53 p.m.