Triple

T262032
Position Surface form Disambiguated ID Type / Status
Subject Tokyo E5560 entity
Predicate contains P35 FINISHED
Object Akihabara
Akihabara is a famous Tokyo district known as a major center for electronics, anime, manga, and otaku culture.
 E71481 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: Akihabara | Statement: [Tokyo, contains, Akihabara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akihabara
Context triple: [Tokyo, contains, Akihabara]
  • A. Harajuku
    Harajuku is a vibrant Tokyo district famous for its youth culture, eclectic street fashion, and trendy shopping and entertainment spots.
  • B. Shinjuku
    Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
  • C. Nipponbashi Den Den Town
    Nipponbashi Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, gaming, and hobby stores.
  • D. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • E. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • 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: Akihabara
Triple: [Tokyo, contains, Akihabara]
Generated description
Akihabara is a famous Tokyo district known as a major center for electronics, anime, manga, and otaku culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akihabara
Target entity description: Akihabara is a famous Tokyo district known as a major center for electronics, anime, manga, and otaku culture.
  • A. Harajuku
    Harajuku is a vibrant Tokyo district famous for its youth culture, eclectic street fashion, and trendy shopping and entertainment spots.
  • B. Shinjuku
    Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
  • C. Nipponbashi Den Den Town
    Nipponbashi Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, gaming, and hobby stores.
  • D. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • E. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d7428dc8190ae12b12a21fcc6cb completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc783c948190bc61a51fc3e3ff1f completed March 2, 2026, 2:56 a.m.
NEDg Description generation batch_69a4fd2938288190b00cb79a10d91150 completed March 2, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69a4fdb5f42c81908ce753cd4283962c completed March 2, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.