Triple

T12592529
Position Surface form Disambiguated ID Type / Status
Subject 世田谷区 E300641 entity
Predicate contains P35 FINISHED
Object 二子玉川
二子玉川 is a riverside commercial and residential district in Tokyo known for its large shopping complexes, stylish cafes, and family-friendly urban development along the Tama River.
E993869 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: 二子玉川 | Statement: [世田谷区, contains, 二子玉川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 二子玉川
Context triple: [世田谷区, contains, 二子玉川]
  • A. 高輪
    高輪 is a district in Minato, Tokyo, known for its mix of historic temples, residential areas, and proximity to major transport hubs like Shinagawa.
  • B. 大塚
    大塚は、東京都文京区に位置する住宅地と商業地が混在した地域です。
  • C. 半蔵門
    半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
  • D. 赤坂御用地
    赤坂御用地は、東京都港区赤坂に位置する日本の皇室関連施設が集まる広大な御用地で、皇族方の御所や宮邸が置かれているエリアである。
  • E. 野村
    野村 is a common Japanese surname and place name associated with various notable individuals, companies, and geographic locations in Japan.
  • 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: 二子玉川
Triple: [世田谷区, contains, 二子玉川]
Generated description
二子玉川 is a riverside commercial and residential district in Tokyo known for its large shopping complexes, stylish cafes, and family-friendly urban development along the Tama River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 二子玉川
Target entity description: 二子玉川 is a riverside commercial and residential district in Tokyo known for its large shopping complexes, stylish cafes, and family-friendly urban development along the Tama River.
  • A. 高輪
    高輪 is a district in Minato, Tokyo, known for its mix of historic temples, residential areas, and proximity to major transport hubs like Shinagawa.
  • B. 大塚
    大塚は、東京都文京区に位置する住宅地と商業地が混在した地域です。
  • C. 半蔵門
    半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
  • D. 赤坂御用地
    赤坂御用地は、東京都港区赤坂に位置する日本の皇室関連施設が集まる広大な御用地で、皇族方の御所や宮邸が置かれているエリアである。
  • E. 野村
    野村 is a common Japanese surname and place name associated with various notable individuals, companies, and geographic locations in Japan.
  • 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.