Triple

T3308289
Position Surface form Disambiguated ID Type / Status
Subject Shinjuku E69504 entity
Predicate hasPart P35 FINISHED
Object Okubo
Okubo is a neighborhood in Tokyo’s Shinjuku ward, known for its vibrant Korean district, diverse immigrant communities, and bustling nightlife.
 E461117 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: Okubo | Statement: [Shinjuku, hasPart, Okubo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okubo
Context triple: [Shinjuku, hasPart, Okubo]
  • A. Mutaguchi
    Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
  • B. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • 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: Okubo
Triple: [Shinjuku, hasPart, Okubo]
Generated description
Okubo is a neighborhood in Tokyo’s Shinjuku ward, known for its vibrant Korean district, diverse immigrant communities, and bustling nightlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okubo
Target entity description: Okubo is a neighborhood in Tokyo’s Shinjuku ward, known for its vibrant Korean district, diverse immigrant communities, and bustling nightlife.
  • A. Mutaguchi
    Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
  • B. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0304964c81908893f85073cb626e completed March 21, 2026, 2:31 a.m.
NEDg Description generation batch_69be05941ca08190b073c078dfb25429 completed March 21, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69be05fb27788190bdbaba05fc0798e7 completed March 21, 2026, 2:44 a.m.
Created at: March 8, 2026, 3:11 p.m.