Triple

T19434699
Position Surface form Disambiguated ID Type / Status
Subject JAX-WS E486199 entity
Predicate toolingExample P66291 FINISHED
Object wsimport LITERAL 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: wsimport | Statement: [JAX-WS, toolingExample, wsimport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: toolingExample
Context triple: [JAX-WS, toolingExample, wsimport]
  • A. toolingArea
    Indicates that one entity serves as the designated area or zone where tools or tooling-related activities for the other entity are located or performed.
  • B. includesTooling chosen
    Indicates that one entity contains, provides, or comes bundled with specific tools or tooling capabilities related to another entity.
  • C. toolIn
    Indicates that one entity is a tool or instrument used in or associated with another entity or context.
  • D. toolUsed
    Indicates that an action or task is performed using a particular tool as the means or instrument.
  • E. toolDeveloperFor
    Indicates that one entity is the creator or developer of a tool that is used by or associated with another entity.
  • F. None of above.

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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335e8f7881909c8b28886521046e completed April 20, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69e4fd6e806081909053f325ba01ab6b completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:37 p.m.