Triple

T12592528
Position Surface form Disambiguated ID Type / Status
Subject 世田谷区 E300641 entity
Predicate contains P35 FINISHED
Object 下北沢
下北沢は東京都世田谷区に位置する、古着店やライブハウス、個性的なカフェが集まる若者文化とサブカルチャーの発信地として知られる街です。
E993868 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: 下北沢 | Statement: [世田谷区, contains, 下北沢]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 下北沢
Context triple: [世田谷区, contains, 下北沢]
  • A. Minami-Osawa
    Minami-Osawa is a suburban district in Tama, Tokyo, known for its large shopping centers, university campuses, and role as a key residential and commercial hub within Tama New Town.
  • B. 千駄ヶ谷
    千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
  • C. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • D. Itabashi
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • E. Funabashi
    Funabashi is a major city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • 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: 下北沢
Triple: [世田谷区, contains, 下北沢]
Generated description
下北沢は東京都世田谷区に位置する、古着店やライブハウス、個性的なカフェが集まる若者文化とサブカルチャーの発信地として知られる街です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 下北沢
Target entity description: 下北沢は東京都世田谷区に位置する、古着店やライブハウス、個性的なカフェが集まる若者文化とサブカルチャーの発信地として知られる街です。
  • A. Minami-Osawa
    Minami-Osawa is a suburban district in Tama, Tokyo, known for its large shopping centers, university campuses, and role as a key residential and commercial hub within Tama New Town.
  • B. 千駄ヶ谷
    千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
  • C. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • D. Itabashi
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • E. Funabashi
    Funabashi is a major city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66308087c81908ab5b5795f255e37 completed May 2, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:07 p.m.