Triple

T3268313
Position Surface form Disambiguated ID Type / Status
Subject Nipponbashi Den Den Town E68580 entity
Predicate nickname P55 FINISHED
Object Den Den Town E318688 NE FINISHED

How this triple was built (2 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: Den Den Town | Statement: [Nipponbashi Den Den Town, nickname, Den Den Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den Den Town
Context triple: [Nipponbashi Den Den Town, nickname, Den Den Town]
  • A. Den Den Town chosen
    Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, game shops, and discount electronics stores.
  • B. Din Da Da
    "Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
  • C. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • D. Munchi
    Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
  • E. Tokyo Chiken
    Tokyo Chiken is the commonly used abbreviated name for the Tokyo District Public Prosecutors Office, a key prosecutorial authority in Japan’s capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcf9c6c819092f9c618b778b46d completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.