Triple

T12592533
Position Surface form Disambiguated ID Type / Status
Subject 世田谷区 E300641 entity
Predicate contains P35 FINISHED
Object 経堂
経堂 is a residential and commercial neighborhood in Tokyo known for its local shopping streets, eateries, and convenient access via Kyōdō Station on the Odakyu Line.
 E1209336 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: 経堂 | Statement: [世田谷区, contains, 経堂]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 経堂
Context triple: [世田谷区, contains, 経堂]
  • A. Chōfu
    Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
  • B. 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.
  • C. 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。
  • D. Nakameguro
    Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
  • E. 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.
  • 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: 経堂
Triple: [世田谷区, contains, 経堂]
Generated description
経堂 is a residential and commercial neighborhood in Tokyo known for its local shopping streets, eateries, and convenient access via Kyōdō Station on the Odakyu Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 経堂
Target entity description: 経堂 is a residential and commercial neighborhood in Tokyo known for its local shopping streets, eateries, and convenient access via Kyōdō Station on the Odakyu Line.
  • A. Chōfu
    Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
  • B. 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.
  • C. 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。
  • D. Nakameguro
    Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
  • E. 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.
  • 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_6a002d92c9788190aa4523a1e47bc561 completed May 10, 2026, 7:02 a.m.
NEDg Description generation batch_6a00305c62d0819092d06963e09d51fc completed May 10, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0030e12bd08190aa101634c88e37e7 completed May 10, 2026, 7:16 a.m.
Created at: April 9, 2026, 5:07 p.m.