Triple

T14249222
Position Surface form Disambiguated ID Type / Status
Subject 赤坂御用地 E353212 entity
Predicate 周辺地域 P17964 FINISHED
Object 青山
青山は、東京都港区と渋谷区にまたがる洗練された商業エリアで、高級ブティックやカフェ、ギャラリーが集まるおしゃれな街として知られています。
E1090343 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: 青山 | Statement: [赤坂御用地, 周辺地域, 青山]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 青山
Context triple: [赤坂御用地, 周辺地域, 青山]
  • A. Wuling Mountain
    Wuling Mountain is a prominent peak in northern China known as the highest summit of the Yan Mountains range.
  • B. Mianshan Mountain
    Mianshan Mountain is a scenic and historically significant mountain in Shanxi Province, China, known for its dramatic cliffs, temples, and cultural heritage sites.
  • C. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • D. Xiaoguanyin Mountain
    Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
  • E. Wushan Mountains
    The Wushan Mountains are a prominent mountain range in southwestern China, best known for their dramatic gorges along the Yangtze River and their role as a natural boundary around the Sichuan region.
  • 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: 青山
Triple: [赤坂御用地, 周辺地域, 青山]
Generated description
青山は、東京都港区と渋谷区にまたがる洗練された商業エリアで、高級ブティックやカフェ、ギャラリーが集まるおしゃれな街として知られています。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 青山
Target entity description: 青山は、東京都港区と渋谷区にまたがる洗練された商業エリアで、高級ブティックやカフェ、ギャラリーが集まるおしゃれな街として知られています。
  • A. Wuling Mountain
    Wuling Mountain is a prominent peak in northern China known as the highest summit of the Yan Mountains range.
  • B. Mianshan Mountain
    Mianshan Mountain is a scenic and historically significant mountain in Shanxi Province, China, known for its dramatic cliffs, temples, and cultural heritage sites.
  • C. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • D. Xiaoguanyin Mountain
    Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
  • E. Wushan Mountains
    The Wushan Mountains are a prominent mountain range in southwestern China, best known for their dramatic gorges along the Yangtze River and their role as a natural boundary around the Sichuan region.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6295ef9081909cfb0c1283bca21a completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd367fd9788190bd25f057d1f0942c completed May 8, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69fd37c1f4c0819085f5c577e673e9df completed May 8, 2026, 1:09 a.m.
Created at: April 10, 2026, 1:08 a.m.