Triple

T3393872
Position Surface form Disambiguated ID Type / Status
Subject Akihabara E71481 entity
Predicate nickname P55 FINISHED
Object Akiba
Akiba is a popular shorthand name for Tokyo’s Akihabara district, famed as a global center of electronics, anime, manga, and otaku culture.
 E354905 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: Akiba | Statement: [Akihabara, nickname, Akiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akiba
Context triple: [Akihabara, nickname, Akiba]
  • A. Shimon
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • B. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • C. Minoru
    Minoru is a Japanese given name commonly used for males and borne by several notable figures in fields such as architecture, sports, and entertainment.
  • D. Maskawa
    Maskawa is a Japanese theoretical physicist best known for co-formulating the Cabibbo–Kobayashi–Maskawa (CKM) matrix, which explains quark mixing and CP violation in the Standard Model.
  • E. Adachi
    Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
  • 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: Akiba
Triple: [Akihabara, nickname, Akiba]
Generated description
Akiba is a popular shorthand name for Tokyo’s Akihabara district, famed as a global center of electronics, anime, manga, and otaku culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akiba
Target entity description: Akiba is a popular shorthand name for Tokyo’s Akihabara district, famed as a global center of electronics, anime, manga, and otaku culture.
  • A. Shimon
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • B. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • C. Minoru
    Minoru is a Japanese given name commonly used for males and borne by several notable figures in fields such as architecture, sports, and entertainment.
  • D. Maskawa
    Maskawa is a Japanese theoretical physicist best known for co-formulating the Cabibbo–Kobayashi–Maskawa (CKM) matrix, which explains quark mixing and CP violation in the Standard Model.
  • E. Adachi
    Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb853746c8190bfa1447e6ebbefb3 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc8a75c8190ab4f652272d33576 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e46b2b48190aedee8dabf5285bd completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc0b830819082b50ebd14b6490b completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:14 p.m.