Triple

T14659712
Position Surface form Disambiguated ID Type / Status
Subject Java Portlet Specification E344205 entity
Predicate alsoKnownAs P39 FINISHED
Object JSR 286 E344205 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: JSR 286 | Statement: [Java Portlet Specification, alsoKnownAs, JSR 286]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSR 286
Context triple: [Java Portlet Specification, alsoKnownAs, JSR 286]
  • A. Jakarta Server Faces
    Jakarta Server Faces is a component-based web framework for building server-side user interfaces in Java enterprise applications.
  • B. JSR 352
    JSR 352 is the original Java batch processing specification that defined a standardized model for batch applications on the Java platform.
  • C. Java Portlet Specification chosen
    The Java Portlet Specification is a Java standard that defines a component model and APIs for developing pluggable, portal-based web applications called portlets.
  • D. JSR 317
    JSR 317 is the Java Community Process specification that standardizes the Java Persistence API (JPA) for object-relational mapping and data persistence in Java applications.
  • E. 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.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e28f848190a3d686bc11336601 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.