Triple

T3308281
Position Surface form Disambiguated ID Type / Status
Subject Shinjuku E69504 entity
Predicate hasPart P35 FINISHED
Object Kabukichō E304205 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: Kabukichō | Statement: [Shinjuku, hasPart, Kabukichō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabukichō
Context triple: [Shinjuku, hasPart, Kabukichō]
  • A. Kabukichō chosen
    Kabukichō is Tokyo’s most famous red-light and entertainment district, known for its neon-lit streets packed with bars, host and hostess clubs, restaurants, and nightlife venues.
  • B. Yoshiwara pleasure district
    The Yoshiwara pleasure district was Edo-period Tokyo’s most famous licensed red-light quarter, known for its courtesans, nightlife, and influential role in Japanese urban culture and arts.
  • C. Shinsekai entertainment district
    The Shinsekai entertainment district is a historic Osaka neighborhood known for its retro Showa-era atmosphere, Tsutenkaku Tower, casual eateries, and vibrant nightlife.
  • D. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • E. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e4d4d948190b74116d1d21dc519 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:11 p.m.