Triple

T5983886
Position Surface form Disambiguated ID Type / Status
Subject Ryukyuan bingata kimono E133179 entity
Predicate requiresTool P33439 FINISHED
Object paper stencils 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: paper stencils | Statement: [Ryukyuan bingata kimono, requiresTool, paper stencils]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresTool
Context triple: [Ryukyuan bingata kimono, requiresTool, paper stencils]
  • A. usesToolType chosen
    Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
  • B. usedByTool
    Indicates that a particular tool is employed or operated by a specified agent or entity.
  • C. includesTooling
    Indicates that one entity contains, provides, or comes bundled with specific tools or tooling capabilities related to another entity.
  • D. requiresSoftware
    Indicates that one entity depends on specific software being present or installed in order to function, operate, or be used.
  • E. isToolIn
    Indicates that a tool is located within or contained inside a specified space, container, or context.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6c4f2481909cdcf931331b3595 completed March 22, 2026, 8 p.m.
PD Predicate disambiguation batch_69c049de98648190962b14fd341c93da completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:04 p.m.