Triple

T6196644
Position Surface form Disambiguated ID Type / Status
Subject Mount Yoshino E138523 entity
Predicate hasCherryTreeVarieties P69601 FINISHED
Object Someiyoshino
Someiyoshino is Japan’s most widely planted and iconic cherry blossom cultivar, known for its pale pink flowers that bloom in dramatic unison each spring.
 E574880 NE FINISHED

How this triple was built (4 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: Someiyoshino | Statement: [Mount Yoshino, hasCherryTreeVarieties, Someiyoshino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Someiyoshino
Context triple: [Mount Yoshino, hasCherryTreeVarieties, Someiyoshino]
  • A. Seika
    Seika is a town in Kyoto Prefecture, Japan, known for its residential communities and proximity to the Kansai Science City area.
  • B. Kunitachi
    Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • E. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Someiyoshino
Triple: [Mount Yoshino, hasCherryTreeVarieties, Someiyoshino]
Generated description
Someiyoshino is Japan’s most widely planted and iconic cherry blossom cultivar, known for its pale pink flowers that bloom in dramatic unison each spring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Someiyoshino
Target entity description: Someiyoshino is Japan’s most widely planted and iconic cherry blossom cultivar, known for its pale pink flowers that bloom in dramatic unison each spring.
  • A. Seika
    Seika is a town in Kyoto Prefecture, Japan, known for its residential communities and proximity to the Kansai Science City area.
  • B. Kunitachi
    Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • E. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • F. None of above. chosen

Provenance (5 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062508f5c8190a00291708a9a7de9 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f2a40a88190847f607a6e2c5f4e completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1d232ab1881909cc3014beb664446 completed March 23, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69c1d2c532988190a98f615638987159 completed March 23, 2026, 11:54 p.m.
Created at: March 22, 2026, 4:20 p.m.