Triple

T26341003
Position Surface form Disambiguated ID Type / Status
Subject Traditional Craft of Japan E662645 entity
Predicate exampleCraft P148296 FINISHED
Object Kyo-yuzen dyeing
Kyo-yuzen dyeing is a traditional Kyoto textile art that hand-paints intricate, colorful designs—often on silk kimonos—using resist-dyeing techniques to create highly detailed and elegant patterns.
 E1720191 NE FINISHED

How this triple was built (3 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: Kyo-yuzen dyeing | Statement: [Traditional Craft of Japan, exampleCraft, Kyo-yuzen dyeing]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kyo-yuzen dyeing
Triple: [Traditional Craft of Japan, exampleCraft, Kyo-yuzen dyeing]
Generated description
Kyo-yuzen dyeing is a traditional Kyoto textile art that hand-paints intricate, colorful designs—often on silk kimonos—using resist-dyeing techniques to create highly detailed and elegant patterns.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: exampleCraft
Context triple: [Traditional Craft of Japan, exampleCraft, Kyo-yuzen dyeing]
  • A. hasCraft
    Indicates a relationship where an entity possesses, operates, or is associated with a particular vehicle, vessel, or other craft.
  • B. isCraftProduct chosen
    Indicates that something is a product created through skilled manual craftsmanship, often in small-scale or artisanal production rather than mass manufacturing.
  • C. crea
    Indicates that one entity creates, produces, or brings into existence another entity.
  • D. craftEconomy
    Indicates an economic relationship where goods or value are produced, exchanged, or sustained through crafting activities or artisanal production.
  • E. craftedIn
    Indicates that an object or work was created or produced at a particular place or within a specific location.
  • F. None of above.

Provenance (6 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_69ee81304194819092e20e0fae3aee07 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60fa2af708190a41199a1bd022ed2 completed May 2, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a5ddb8481909bc2c4b37fa01d85 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119ad502f4819094bacc5b50514200 completed May 23, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a119b5af6f48190a607628edf5bd0c8 completed May 23, 2026, 12:19 p.m.
PD Predicate disambiguation batch_69f60b874cc88190a487230abb69efea completed May 2, 2026, 2:34 p.m.
Created at: April 26, 2026, 10:39 p.m.