Triple

T3014254
Position Surface form Disambiguated ID Type / Status
Subject Naniwa-ku E82297 entity
Predicate hasLandmark P105 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: [Naniwa-ku, hasLandmark, Den Den Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den Den Town
Context triple: [Naniwa-ku, hasLandmark, 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. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • C. 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.
  • D. Plon-Plon
    Plon-Plon was the popular nickname of Prince Napoléon-Jérôme Bonaparte, a 19th-century French imperial prince and cousin of Emperor Napoleon III.
  • E. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea9a7c4819087fb6853d839fb1e completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.