Triple

T3482691
Position Surface form Disambiguated ID Type / Status
Subject Ikebukuro E73529 entity
Predicate hasArea P175 FINISHED
Object East Ikebukuro
East Ikebukuro is the eastern district of Tokyo’s Ikebukuro area, known for its dense mix of commercial buildings, entertainment venues, and urban residential neighborhoods.
 E73529 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: East Ikebukuro | Statement: [Ikebukuro, hasArea, East Ikebukuro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: East Ikebukuro
Context triple: [Ikebukuro, hasArea, East Ikebukuro]
  • A. Ikebukuro
    Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
  • B. 千駄ヶ谷
    千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
  • C. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • D. Akasaka
    Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
  • E. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • 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: East Ikebukuro
Triple: [Ikebukuro, hasArea, East Ikebukuro]
Generated description
East Ikebukuro is the eastern district of Tokyo’s Ikebukuro area, known for its dense mix of commercial buildings, entertainment venues, and urban residential neighborhoods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: East Ikebukuro
Target entity description: East Ikebukuro is the eastern district of Tokyo’s Ikebukuro area, known for its dense mix of commercial buildings, entertainment venues, and urban residential neighborhoods.
  • A. Ikebukuro chosen
    Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
  • B. 千駄ヶ谷
    千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
  • C. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • D. Akasaka
    Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
  • E. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • F. None of above.

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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368a242448190ac61e806b42a0cf3 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693bc26c819093ba7f9757ba0665 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.