Triple

T19474985
Position Surface form Disambiguated ID Type / Status
Subject 東郷神社 E487221 entity
Predicate locatedIn P40 FINISHED
Object 原宿
原宿は、東京都渋谷区に位置する若者文化やファッションの発信地として知られる繁華街エリアです。
E1378630 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: 原宿 | Statement: [東郷神社, locatedIn, 原宿]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 原宿
Context triple: [東郷神社, locatedIn, 原宿]
  • A. 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。
  • B. 高田馬場
    高田馬場 is a bustling neighborhood in Tokyo’s Shinjuku ward known for its major train station, student population, and numerous eateries and entertainment spots.
  • C. 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。
  • D. 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.
  • E. 神保町
    神保町 is a Tokyo neighborhood famed as Japan’s largest used-book district, lined with countless bookstores, publishers, and cozy cafés.
  • 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: 原宿
Triple: [東郷神社, locatedIn, 原宿]
Generated description
原宿は、東京都渋谷区に位置する若者文化やファッションの発信地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: 原宿
Target entity description: 原宿は、東京都渋谷区に位置する若者文化やファッションの発信地として知られる繁華街エリアです。
  • A. 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。
  • B. 高田馬場
    高田馬場 is a bustling neighborhood in Tokyo’s Shinjuku ward known for its major train station, student population, and numerous eateries and entertainment spots.
  • C. 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。
  • D. 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.
  • E. 神保町
    神保町 is a Tokyo neighborhood famed as Japan’s largest used-book district, lined with countless bookstores, publishers, and cozy cafés.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633f126988190890ff8e5730e4ad3 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0740519e888190863e5ca5f72ed951 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a07420720f881908010cdc7a140eed9 completed May 15, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0742f860948190a8619dce3e1461b8 completed May 15, 2026, 3:59 p.m.
Created at: April 10, 2026, 1:39 p.m.