Triple

T15619484
Position Surface form Disambiguated ID Type / Status
Subject Nishinari-ku, Osaka E375509 entity
Predicate near P350 FINISHED
Object Shinsekai E41970 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: Shinsekai | Statement: [Nishinari-ku, Osaka, near, Shinsekai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinsekai
Context triple: [Nishinari-ku, Osaka, near, Shinsekai]
  • A. Shinsekai chosen
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • B. Shiki
    Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • C. Shikinaisha
    Shikinaisha are Shinto shrines listed in the ancient Engishiki regulations, regarded as especially important regional sanctuaries in Japan.
  • D. Shinshukyo
    Shinshukyo refers to Japan’s “new religions,” a diverse group of modern religious movements that emerged mainly from the late 19th century onward, often blending Shinto, Buddhist, and other spiritual elements.
  • E. Shin-kankakuha
    Shin-kankakuha was a Japanese literary movement that emphasized new sensations and subjective perception, influencing writers such as Osamu Dazai in the early 20th century.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.