Triple

T14284790
Position Surface form Disambiguated ID Type / Status
Subject 港区 E354141 entity
Predicate contains P35 FINISHED
Object 六本木
六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
E1090666 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: 六本木 | Statement: [港区, contains, 六本木]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 六本木
Context triple: [港区, contains, 六本木]
  • A. 大手町
    大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • B. 赤坂
    赤坂は、東京都港区に位置し、官公庁や高級ホテル、飲食店が集まるビジネス・商業エリアとして知られる街です。
  • C. 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。
  • D. 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.
  • E. Roppongi Hills
    Roppongi Hills is a large urban redevelopment complex in Tokyo known for its skyscrapers, upscale shops, restaurants, offices, residences, and the Mori Art Museum.
  • 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: 六本木
Triple: [港区, contains, 六本木]
Generated description
六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 六本木
Target entity description: 六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
  • A. 大手町
    大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • B. 赤坂
    赤坂は、東京都港区に位置し、官公庁や高級ホテル、飲食店が集まるビジネス・商業エリアとして知られる街です。
  • C. 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。
  • D. 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.
  • E. Roppongi Hills
    Roppongi Hills is a large urban redevelopment complex in Tokyo known for its skyscrapers, upscale shops, restaurants, offices, residences, and the Mori Art Museum.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.