Triple

T4105763
Position Surface form Disambiguated ID Type / Status
Subject Matsuo Bashō E88446 entity
Predicate notableWork P4 FINISHED
Object Nozarashi Kikō
Nozarashi Kikō is a travel diary by the Japanese haiku master Matsuo Bashō that blends prose and verse to chronicle his poetic journey through the countryside.
 E412238 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: Nozarashi Kikō | Statement: [Matsuo Bashō, notableWork, Nozarashi Kikō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nozarashi Kikō
Context triple: [Matsuo Bashō, notableWork, Nozarashi Kikō]
  • A. Zakumi
    Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
  • B. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • C. Shinsekai
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • D. Aoi no Ue
    Aoi no Ue is a noblewoman and the first principal wife of Prince Genji in the classic Japanese literary work "The Tale of Genji."
  • E. Nagoshi no Harae
    Nagoshi no Harae is a traditional Japanese Shinto purification rite held in mid-year to cleanse sins and impurities and pray for good health for the remainder of the year.
  • 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: Nozarashi Kikō
Triple: [Matsuo Bashō, notableWork, Nozarashi Kikō]
Generated description
Nozarashi Kikō is a travel diary by the Japanese haiku master Matsuo Bashō that blends prose and verse to chronicle his poetic journey through the countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nozarashi Kikō
Target entity description: Nozarashi Kikō is a travel diary by the Japanese haiku master Matsuo Bashō that blends prose and verse to chronicle his poetic journey through the countryside.
  • A. Zakumi
    Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
  • B. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • C. Shinsekai
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • D. Aoi no Ue
    Aoi no Ue is a noblewoman and the first principal wife of Prince Genji in the classic Japanese literary work "The Tale of Genji."
  • E. Nagoshi no Harae
    Nagoshi no Harae is a traditional Japanese Shinto purification rite held in mid-year to cleanse sins and impurities and pray for good health for the remainder of the year.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019af25481909e9f1d171356f3e8 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7f88948190b87242e706a488c0 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c0a3b1c81908ae4c630c6881c1c completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56c94df3481908d2f4a3976fb775b completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:40 p.m.