Triple

T12592530
Position Surface form Disambiguated ID Type / Status
Subject 世田谷区 E300641 entity
Predicate contains P35 FINISHED
Object 成城
成城 is an upscale residential neighborhood in Tokyo known for its quiet streets, affluent homes, and proximity to Seijo Gakuen educational institutions.
E993870 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: 成城 | Statement: [世田谷区, contains, 成城]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 成城
Context triple: [世田谷区, contains, 成城]
  • A. Thiên Thành
    Thiên Thành was a historical era name used during the Vietnamese Lý dynasty to designate a specific reign period.
  • B. 勝也
    勝也 is a masculine Japanese given name typically written with kanji conveying meanings related to "victory" or "winning."
  • C. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • D. 彭城
    彭城 is the historical Chinese name for the ancient city and region centered around present-day Xuzhou in Jiangsu Province, known as a significant political and military site throughout Chinese history.
  • E. Tianfu Zhi Guo
    Tianfu Zhi Guo is a traditional Chinese epithet meaning “Land of Abundance,” referring to the fertile, prosperous Chengdu Plain in Sichuan Province.
  • 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: 成城
Triple: [世田谷区, contains, 成城]
Generated description
成城 is an upscale residential neighborhood in Tokyo known for its quiet streets, affluent homes, and proximity to Seijo Gakuen educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 成城
Target entity description: 成城 is an upscale residential neighborhood in Tokyo known for its quiet streets, affluent homes, and proximity to Seijo Gakuen educational institutions.
  • A. Thiên Thành
    Thiên Thành was a historical era name used during the Vietnamese Lý dynasty to designate a specific reign period.
  • B. 勝也
    勝也 is a masculine Japanese given name typically written with kanji conveying meanings related to "victory" or "winning."
  • C. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • D. 彭城
    彭城 is the historical Chinese name for the ancient city and region centered around present-day Xuzhou in Jiangsu Province, known as a significant political and military site throughout Chinese history.
  • E. Tianfu Zhi Guo
    Tianfu Zhi Guo is a traditional Chinese epithet meaning “Land of Abundance,” referring to the fertile, prosperous Chengdu Plain in Sichuan Province.
  • 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.